By Nick French · Founder, StackSwap · 10yrs B2B SaaS GTM (BDR → AE → Head of Revenue) · Methodology →
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Launch review · AI Voice Agents · 2026
Fireflies Just Went From AI Notetaker to AI Meeting-Taker — Here's What It Means and Who It's For
Fireflies shipped AI Voice Agents (the product name is "Fred") this week — a category jump from notetaker that listens to your meetings to agent that takes meetings for you. Screening interviews, discovery calls, inbound qualification, user research, FAQ support — all automated, all conversational, all scalable. This isn't about replacing Zoom calls. It's about freeing your team from the 80% of calls that don't need a human.
The structural surprise: Voice Agents is bundled into existing Fireflies tiers (Pro $10/user/mo annual ships 20 AI credits; Business $19 ships 30; Enterprise $39 ships 50) plus dedicated add-on plans at $5/$18/$600 for 50/200/10,000 credits. One credit equals one minute of conversation, so effective rates land at ~$0.06-$0.36/min depending on tier — comparable to or cheaper than Bland.ai ($0.09-$0.14/min), Vapi (~$0.05/min infrastructure + at-cost model fees), Retell ($0.07-$0.31/min), and Synthflow ($0.15-$0.24/min). And every existing Fireflies seat-holder gets it without a new contract.
This is the operator-honest take: what Voice Agents actually does, when it's a category-defining iPhone moment vs a feature that fizzles, the 5 use cases it earns its price on, and the 6 use cases where humans still win. StackSwap is a Fireflies affiliate — the analysis below is the same one we'd give a friend evaluating it cold.
60-80% of SDR and CS time goes to scripted calls that don't need a human.
The pattern is universal across GTM teams: a senior SDR's calendar is 60-80% screening calls, lead qualification, and weekly customer check-ins — all scripted, all repeatable, none of which require strategic judgment. The hire math is brutal: an OTE-$80K SDR running 30 calls/day at 70% scripted = ~$56K/yr spent on calls a junior could do (and a Voice Agent can do at $0.09-$0.36/min). The same pattern shows up in CS (account check-ins, renewals under $25K ARR, onboarding intake) and recruiting (first-round screens running 15 min each). Most operators underestimate how much of their team's call time is scripted until they audit it — typically 60-80% on inbound-heavy motions.
2
Fireflies' answer
AI Voice Agents handles the scripted 80%, human takes the strategic 20% that needs judgment.
Fred (the agent)Bundled
Joins Zoom/Meet, runs structured conversation, adapts follow-ups in real time
Notetaker brand → meeting-taker is a credible jump because Fireflies already owns the call infrastructure.
Fireflies is shipping a feature inside an existing product where competitors are shipping a product from cold start. Bland.ai, Vapi, Retell, and Synthflow are voice agent infrastructure — developer-first, per-minute consumption pricing, no bundled meeting AI, no CRM sync layer. To get competitive parity with Fireflies Voice Agents, you stack Bland ($0.09-$0.14/min) + Fathom or Otter for notetaking + custom CRM glue + your own integration layer. That stack costs $300-$800/mo all-in for a 5-rep team and requires engineering hours to maintain. Fireflies Business at $19/user/mo annual × 5 = $95/mo ships all of it bundled. The bundling is the structural moat for SMB and mid-market shapes.
What it actually does — 5 use cases that earn the spend
Fred runs structured first-round screens with consistent questions about experience, role fit, salary expectations, and cultural fit. Filters unqualified candidates before they hit a human recruiter. Syncs outcomes to your ATS (Greenhouse, Lever, Workday) with structured scorecard data. At 100 screens/mo (typical recruiting team), that's ~$0.09/min × 1,500 min = $135 of credit cost vs $1,250-$2,500 in recruiter hours — 10-20× ROI when the metrics hold.
Inbound qualification
Lead discovery + qualification + handoff
Inbound demo requests get a Fred-led discovery call instead of waiting 24-48 hours for SDR availability. Fred runs BANT/MEDDIC, captures budget/timeline/need, and books a follow-up with the right rep based on lead scoring. The structural win: SDRs stop running the qualification call and start running the strategic warm-pipeline calls. SDR capacity effectively doubles.
Customer success
Weekly account check-ins at scale
CS teams running 50+ accounts hit a real bottleneck on quarterly check-ins. Voice Agents handles structured status check-ins (How's adoption? Any blockers? Renewal sentiment?), surfaces at-risk accounts via sentiment + keyword tracking, escalates high-stakes accounts to humans. The math: a CSM handling 50 accounts at 30 min/check-in/quarter = ~25 hrs/quarter on structured check-ins. Voice Agents absorbs it; CSM time goes to strategic accounts.
Support / FAQ
Inbound product Q&A with escalation logic
For SaaS products with a steady stream of low-complexity FAQ calls (How do I reset my password? What's in the Pro plan? Can I downgrade mid-cycle?), Voice Agents handles 60-80% of the volume and escalates the rest. Loads your knowledge base as reference docs, answers with adaptive follow-up logic, hands off to humans on complex tickets. The right shape for SaaS support teams pre-Intercom or scaling Intercom without adding seat cost.
User research
Structured customer interviews at scale
PM and research teams running 20-50 customer interviews per quarter hit a real time tax. Voice Agents runs structured 30-min interviews with consistent questions, captures qualitative insight, and AskFred aggregates patterns across the full interview set. The trade: voice agents can't probe nuanced answers the way a great researcher can, but they can run 5× the interview volume — net research velocity goes up if you accept the 80% depth ceiling.
Internal
Async stand-ups, retros, status check-ins
Internal use case that nobody anticipates but most teams adopt within 90 days: async stand-ups and retros where Fred runs structured 5-min status interviews with each team member, AskFred aggregates the team-level picture, summaries land in Slack or Notion. Replaces the 30-min daily team stand-up with structured async input. Works especially well for distributed teams where time-zone overlap is the bottleneck.
What Fireflies Voice Agents gets right
Bundled pricing
20-50 credits free with every Pro/Business/Enterprise seat
Voice Agents is included in existing Fireflies tiers — Pro $10/user/mo annual ships 20 credits (20 min), Business $19 ships 30, Enterprise $39 ships 50. No new contract, no per-minute markup on top of seats you already have. Every existing Fireflies operator base can deploy Voice Agents tomorrow without procurement. That's the structural moat vs Bland/Vapi/Retell — they sell voice agent infrastructure; Fireflies sells voice agents inside an existing meeting AI deployment.
Native CRM sync
HubSpot / Salesforce / Pipedrive / Close out of the box
Voice Agents call outcomes (qualification scores, action items, next-step assignments) sync to your CRM at Business tier and above without webhook plumbing. Same integration depth as Fireflies meeting transcripts. Bland/Vapi/Retell require 4-12 hours of engineering glue per CRM destination — Fireflies absorbs that integration tax. For SMB and mid-market teams, this alone justifies picking Fireflies over developer-first voice agent infra.
70+ languages
Global team / global audience coverage
Voice Agents supports 70+ languages with multiple accent options (American, British, Australian English; Spanish, French, German variants; plus Asian and Middle Eastern languages). The structural fit for global recruiting teams running screening across geographies, multi-region SaaS teams handling inbound qualification in local languages, and international user research where translation overhead kills traditional interview velocity.
AskFred across calls
Cross-call intelligence on Voice Agent + meeting library
AskFred queries work across the entire call library — Voice Agent calls AND regular meeting transcripts. Ask 'How many candidates this month mentioned remote-first as a deal-breaker?' or 'What objections came up in inbound qualification last week?' and you get answers across the full data set. The value compounds — every Voice Agent call adds to the queryable corpus, which is a moat regular voice agent infra (Bland, Vapi, Retell) can't match without you building it yourself.
7K+ integrations
Zapier + webhooks + REST API into your downstream stack
Voice Agent outputs flow into Slack, Notion, HubSpot, Salesforce, Pipedrive, Close, Greenhouse, Lever, Workday, Linear, Jira, Asana, and 7K+ Zapier-connected destinations. Action items become Linear tickets. Qualified leads become Salesforce opportunities. Candidate screens become Greenhouse stages. The integration breadth is the structural fit for teams running cross-functional motion across multiple SaaS systems.
Compliance posture
SOC 2 + GDPR + HIPAA + FERPA at Enterprise tier
Fireflies ships SOC 2 Type II, GDPR, HIPAA (Enterprise tier with BAA), and FERPA compliance. Voice Agents inherits the same compliance posture as the meeting AI product — same data residency options, same retention controls, same permission-based access. For regulated industries (healthcare, finance, education), this is non-negotiable, and most developer-first voice agent platforms (Bland, Vapi) don't ship at this compliance depth without enterprise contracts.
The human relationship is part of the product on enterprise account management, $50K+ ARR renewals, or executive-stakeholder briefings. Voice Agents can run a structured intake script, but it can't read the room, pivot mid-call based on stakeholder body language signals (yes, even on Zoom — humans pick up on hesitation patterns AI doesn't), or build the multi-year relationship that closes enterprise deals. For warm-pipeline strategic conversations, humans win and Voice Agents is a liability.
Voice quality cap
Anything where the AI shape must be undetectable
Voice quality is meaningfully better than 2023-era voice AI, but prospects still notice the AI within 30-60 seconds in most calls — slightly too-perfect intonation, occasional latency on complex follow-ups, no spontaneous tangential conversation. For high-trust contexts where prospects expected a human (warm-inbound demo from a referred lead, customer escalation, sensitive HR conversation), the AI shape damages trust regardless of disclosure. Use humans there.
Regulated edge cases
Healthcare without BAA, financial advisory without disclosure framework
Fireflies ships HIPAA compliance at Enterprise tier with BAA in place. Voice Agents handling PHI (patient screening, healthcare intake) requires that BAA configured first; running on Pro or Business tier is a compliance violation. Financial advisory has similar disclosure framework requirements (FINRA, SEC). Don't deploy Voice Agents in regulated motions without compliance configured — talk to counsel before launch.
Solo / under-3-person
Sub-team scale where the configuration overhead doesn't pay back
Voice Agents requires real configuration work — script templates, branching logic, CRM sync, compliance disclosure language, ATS field mapping. For a solo founder or 2-3 person team running under 20 scripted calls/mo, that configuration overhead doesn't pay back. Manual + Fathom Free notetaking covers the motion. Voice Agents earns its keep starting at 5+ users with 50+ scripted calls/mo across the team — below that scale, you're paying for infrastructure you're not using.
Highly emotional contexts
Grief counseling, layoffs, customer escalations where empathy is the deliverable
Some calls are emotional-labor calls where the value is the human presence, not the information transfer. Customer escalations where the prospect is angry, HR conversations involving layoffs or performance issues, support contexts where the customer is in real distress — the AI shape, no matter how natural the voice quality, signals deprioritization. Voice Agents in these contexts is a trust burn that takes months to repair. Use humans.
Outbound prospecting
Cold outbound voice — AiSDR / 11x AI / Air.ai are the right shape
Voice Agents is purpose-built for inbound + scheduled-call AI (someone has the meeting on calendar, agent runs it). It's not designed for cold outbound voice prospecting where the AI dials a list, navigates gatekeepers, and pitches cold. For that motion, AiSDR (outbound autonomous SDR), 11x AI (enterprise outbound), or Air.ai (sales-focused outbound voice) are the right shape. Most teams need both — AiSDR books the meetings, Fireflies Voice Agents handles the scripted ones.
How Fireflies Voice Agents stacks up vs. the category
Side-by-side comparison
Voice agent platform comparison — pricing, integration, fit
Operator-reported figures as of May 2026. Voice Agents pricing bundled into existing Fireflies seats. Bland/Vapi/Retell are pure per-minute infrastructure. AiSDR is outbound autonomous SDR (adjacent category) — included as a reference shape for the outbound vs inbound split.
Fireflies Voice Agents ✓Native integrations absorb the engineering tax that developer-first platforms require
Languages supported
70+ languages, multiple accents
English (others via custom)
60+ languages depending on TTS provider
30+ languages
Primarily English (Spanish limited)
Fireflies Voice Agents ✓Broadest language coverage out-of-the-box, no TTS provider selection required
Customization depth (script templates, branching)
AI Skills + custom scorecards + uploaded docs
Full code-level control + custom flows
Full developer SDK + custom backend integration
Full configurable + LLM choice + TTS choice + KB
Outbound playbook templates (different shape)
Vapi ✓Developer SDK + full backend control wins on raw customization for engineering teams
Compliance (SOC 2 / GDPR / HIPAA)
SOC 2 + GDPR + HIPAA (Ent tier) + FERPA
BAA, SSO, JWT (Enterprise)
SOC2, HIPAA ($2K/mo), PCI, SSO, RBAC
Custom enterprise compliance terms
SOC 2 + GDPR
Fireflies Voice Agents ✓Compliance posture inherited from existing Fireflies enterprise product, not bolted on
Operator profile fit
✓GTM teams already using Fireflies
~Engineering-led custom voice flows
~Engineering-led + cost-optimized
~Engineering + configuration-heavy
~Outbound SDR replacement / augmentation
Fireflies Voice Agents ✓Only platform where GTM operators (not engineers) can deploy voice agents same-day without engineering hours
Tally: Fireflies Voice Agents wins 6 of 8 — bundled pricing, bundled meeting AI, CRM sync, languages, compliance, operator fit. Vapi wins on raw per-minute cost and developer customization. Fireflies is the structural pick for SMB/mid-market GTM teams; Bland/Vapi/Retell win for engineering-led voice flows. AiSDR is a different category (outbound vs inbound).
Pricing operator-reported as of May 2026 — verify current rates on each vendor's site. Fireflies Voice Agents pricing reflects the Pro/Business/Enterprise bundle + the dedicated add-on plans ($5/$18/$600 for 50/200/10,000 credits). Bland.ai per-minute rate quoted at Build tier ($0.12/min). Vapi at-cost model fees vary by LLM/TTS provider choice. Retell variability reflects LLM choice (GPT-4.1 lower, Claude 4.5 Sonnet higher). AiSDR included as a reference for the outbound vs inbound split — pricing quote-based per motion.
Where it fits in real motions
Recruiting team running 100+ first-round screens/mo: Voice Agents handles structured screening calls; ATS sync feeds Greenhouse / Lever / Workday with structured scorecard outcomes. Recruiter time shifts from screen execution to debrief + second-round conversations. At $0.09/min × 1,500 min/mo = $135 of credit cost vs $1,250-$2,500 in recruiter hours — the cleanest ROI use case in the category.
Inbound-heavy SaaS sales motion (20+ demo requests/wk): Voice Agents runs the qualification call inside 24 hours instead of waiting for SDR availability. BANT/MEDDIC captured, lead scored, follow-up booked with the right rep based on segment fit. SDRs stop running qualification and start running strategic warm-pipeline conversations. Effective SDR capacity doubles.
CS team managing 50+ accounts: Quarterly structured check-ins handled by Voice Agents — status, adoption signals, renewal sentiment, blocker identification. At-risk accounts surface via sentiment tracking and escalate to humans. CSM time goes to top-quartile strategic accounts. The math: 50 accounts × 30 min/quarter = 25 hrs/quarter on structured check-ins, absorbed by Voice Agents at ~$135/mo credit cost.
SaaS support team pre-Intercom or scaling Intercom seats: Voice Agents handles the 60-80% of FAQ calls that map to documented knowledge base content (password reset, billing questions, feature scope, plan comparison). Loads your product docs as reference, answers with adaptive follow-up logic, escalates complex tickets to humans. Replaces 1-2 support seats at $40-$60K/yr each.
PM / research team running customer interviews at scale: Voice Agents runs structured 30-min customer interviews 5× faster than scheduling humans. AskFred aggregates patterns across the full interview set. Trade-off accepted: voice agents can't probe nuanced answers like a great researcher, but velocity gains compound — net research output goes up if you accept the 80% depth ceiling on individual interviews.
FAQ
How does Fireflies AI Voice Agents pricing actually work?+
Two billing shapes, which is the structural surprise. (1) Voice Agents are bundled into existing Fireflies seats — Pro at $10/user/mo annual ships 20 AI credits/mo, Business at $19 ships 30 credits, Enterprise at $39 ships 50 credits. (2) Dedicated Voice Agents add-on plans run $5/mo for 50 credits, $18/mo for 200 credits, and $600/mo for 10,000 credits. One credit equals one minute of conversation, so the effective rate is roughly $0.06-$0.36/min depending on tier — and at the dedicated $18 plan ($0.09/min), it's competitive with Bland AI ($0.09-$0.14/min) and beats Retell ($0.07-$0.31/min) before you count the bundled meeting AI you already have. The bundling is the wedge: every Fireflies seat-holder already gets Voice Agents access at no per-minute markup, where competitors charge per-minute usage on top of a platform fee.
What does Fireflies AI Voice Agents (Fred) actually do?+
Five core use cases, all conversational and CRM-aware. (1) First-round candidate screening — Fred runs structured 10-15 min screens with consistent questions, filters unqualified candidates before they hit a human recruiter, syncs outcomes to your ATS. (2) Inbound sales discovery — qualifies leads with BANT or custom discovery scripts, captures budget/timeline/need, books a follow-up with the right rep. (3) Outbound discovery calls — Fred dials, runs the structured discovery, hands off qualified prospects. (4) User research interviews — runs structured customer research sessions, summarizes insights across calls with AskFred. (5) Inbound support FAQ — answers common product questions with adaptive intelligence and follow-up logic, escalates to humans when out of scope. The product joins Zoom and Google Meet calls as a full participant (not just dial-out), supports 70+ languages with multiple accent options, and syncs to ATS/CRM/calendar out of the box.
Is this an iPhone moment or a feature that fizzles?+
Honest take: somewhere in between, and the verdict depends on who's running the calls today. For first-round screening (recruiting) and inbound discovery qualification, Voice Agents is a category-defining move — the script is consistent, the human-cost is real ($25-50/hr recruiter time), and Fireflies already owns the meeting infrastructure that makes deploy frictionless. For nuanced sales discovery and high-stakes customer calls, it's a feature, not a category. Voice quality is improved but not human-indistinguishable; prospects do still notice an AI agent within 30-60 seconds, and that matters for warm-pipeline or enterprise sales conversations where the human relationship is part of the product. The structural test: if 80% of the call's value lives in the script (intake, qualification, FAQ), Fireflies wins. If 80% lives in the human reading the room, the human still wins. Most teams will deploy Voice Agents for the scripted layer and keep humans on the strategic layer — that's the operator-realistic shape.
How does Fireflies Voice Agents compare to Bland.ai / Vapi / Retell?+
Different shapes. Bland.ai, Vapi, and Retell are voice agent infrastructure — pure per-minute pricing ($0.05-$0.31/min depending on configuration), developer-first, no bundled meeting AI. Fireflies Voice Agents is voice agents inside a meeting AI product — bundled into existing $10-$39/user/mo seats, no separate platform fee, native CRM/ATS/calendar sync, 7K+ Zapier integrations, AskFred AI assistant across the full call library. The honest split: if you're an engineer building custom voice agent flows from scratch and want maximum control over the LLM/STT/TTS stack, Bland (developer-friendly per-minute), Vapi (cheapest at $0.05/min infrastructure + bring-your-own keys), or Retell (most configurable across voice providers) are the right shape. If you already have a Fireflies seat or want voice agents bundled with meeting capture, Fireflies wins on TCO and operator-shape — same dashboard, same CRM sync, no new platform to learn.
How does Fireflies Voice Agents compare to AiSDR / 11x AI?+
Different funnel stages. Fireflies Voice Agents = inbound + structured-call AI (someone has the meeting on calendar, agent runs the conversation). AiSDR = autonomous outbound AI SDR (no calendar event needed; AI prospects, writes copy, sends sequences, books meetings). 11x AI is the same outbound shape with enterprise positioning. Most teams need both — AiSDR books the meetings, Fireflies handles the structured ones (qualification, intake, screening). Voice Agents doesn't replace your outbound SDR motion; it replaces the qualified-but-low-complexity inbound calls that eat 60-80% of an SDR's time on scripted work. Run them side-by-side: AiSDR feeds the funnel, Fireflies Voice Agents handles the scripted-call layer, human SDRs handle the strategic warm-pipeline conversations.
Will prospects notice they're talking to an AI?+
Yes, within 30-60 seconds in most calls. Voice quality on Fireflies (and Bland/Vapi/Retell) is meaningfully better than 2023-era voice AI — natural cadence, adaptive follow-up questions, no robotic pauses. But there's still a recognizable pattern: slightly too-perfect intonation, occasional latency on complex follow-ups, no spontaneous tangential conversation. For inbound qualification, screening, and FAQ support, prospects accept the AI shape because the value of the call is information transfer, not relationship-building. For warm-pipeline sales, customer success check-ins on accounts >$50K ARR, or any context where the human relationship is part of the deliverable, the AI shape is a liability — prospects feel deprioritized when they expected a human. The honest disclosure rule: introduce the agent as an AI assistant up front. Operators who try to hide the AI shape get caught and damage trust; operators who frame it as 'I'm an AI agent gathering some initial info, and I'll book you with a human for the deeper conversation' get cleaner data and don't burn trust.
What about compliance — call recording laws, GDPR, HIPAA?+
Fireflies ships SOC 2 Type II, GDPR, HIPAA (Enterprise tier $39/user/mo annual), and FERPA compliance posture, plus permission-based access controls. Voice Agents calls are recorded and transcribed the same way regular Fireflies meetings are — opt-in language and disclosure should be configured before deployment. The structural compliance gotchas: (1) two-party-consent jurisdictions (California, Florida, Illinois, Massachusetts, Maryland, Montana, New Hampshire, Pennsylvania, Washington) require explicit recording consent from the other party before the call, not an after-the-fact disclosure — configure your Voice Agent intro script to announce recording in the first 5 seconds. (2) GDPR territory adds explicit-consent and right-to-deletion requirements; HIPAA requires Enterprise tier with BAA in place before any PHI touches the agent. (3) Some industries (finance, insurance, healthcare) have additional recording retention rules that override Fireflies' default storage policies — configure retention to match. Talk to counsel for high-stakes or regulated motions; Fireflies' compliance posture is not legal advice for your specific deployment.
What's the integration depth — does it sync to my CRM?+
Yes, natively. Fireflies syncs Voice Agents call outcomes to HubSpot, Salesforce, Pipedrive, Close, and any of the 7K+ Zapier-connected destinations. Call transcripts, AI summaries, action items, qualification scores, and next-step assignments all attach to the right contact and opportunity records out of the box at Business tier ($19/user/mo annual) and above. The integration depth is the structural differentiator vs developer-first voice agent platforms (Bland, Vapi, Retell) — those require you to build the CRM sync yourself via webhook + Lambda, which is 4-12 hours of engineering work per integration. Fireflies absorbs that integration tax. The honest gotcha: configure CRM sync within week one of deployment. Most operators who skip this discover at month two they're paying for Voice Agents features they're not flowing to the system of record, and the value collapses without the CRM sync layer.
When should I NOT use Fireflies Voice Agents?+
Six honest cases. (1) Premium / VIP customer calls where the human relationship is part of the product (enterprise account management, $50K+ ARR customer renewals, executive briefings). (2) High-stakes sales conversations where rep judgment, room-reading, and creative objection handling drive deal velocity. (3) Complex multi-stakeholder discovery where the call requires real-time adaptation across 3-5 different buyer personas. (4) Regulated industries with strict recording compliance that hasn't been pre-configured (healthcare without BAA, financial advisory without disclosure framework, legal). (5) Highly emotional contexts — grief counseling, layoffs, customer escalations where empathy is the deliverable. (6) Solo founders or under-3-person teams where the call volume doesn't justify the configuration overhead — manual + Fathom Free covers the motion. The rule of thumb: if you'd be uncomfortable having a junior SDR run the call from a script, Voice Agents will be a worse fit than that human. If the call IS the script (screening, FAQ, qualification, intake), Voice Agents wins.
How do I pressure-test Fireflies Voice Agents before deploying broadly?+
Three-step rollout. (1) Start with Pro tier ($10/user/mo annual) and the bundled 20 credits — that's ~20 minutes of Voice Agent time, enough to run 2-3 test screening calls and validate voice quality, follow-up logic, and CRM sync against your actual motion. (2) Pick the lowest-stakes scripted call type as your first deployment lane (first-round candidate screening or inbound FAQ are usually the right starting points — neither has high cost-of-error). Run Voice Agents alongside your human process for 30 days; compare qualification rates, candidate / lead feedback, and CRM data quality. (3) Expand if metrics hold: qualification rate within 10% of human baseline, no compliance issues, positive or neutral feedback. The honest rollout discipline: don't deploy Voice Agents to your highest-stakes inbound channel on day one. Most operators who burn trust with AI voice agents skip the validation lane and deploy directly to warm-pipeline qualification. Voice Agents earns its place in the scripted layers — prove it works there before expanding.
Canonical URL: https://stackswap.ai/fireflies-voice-agents-2026. Disclosure: StackSwap is a Fireflies.ai affiliate. Analysis above is the same operator framework we'd give a friend evaluating Voice Agents cold — including the 6 use cases where humans still win. Voice Agents pricing reflects the bundled credits in Pro / Business / Enterprise tiers (20/30/50 credits/mo) plus dedicated add-on plans ($5/mo for 50 credits, $18/mo for 200 credits, $600/mo for 10,000 credits). Verify current pricing on fireflies.ai/pricing and product specifics on fireflies.ai/voice-agents.