AI agents that actually ship (and stick)

Deploy AI Agents for the contact center — by outcome or by minute.

Two ways to buy. One platform to run them. Launch voice, chat, and workflow agents with enterprise-grade controls, measurable results, and a clear path to production.

Outcome-based builds available
Go live in weeks, not quarters
Security & governance ready
Capacity Agents Console
Live
Agent type ⌘K
Voice Agent • Scheduling & triage
Billing mode B
Outcome • booked appointment
[12:04:11] Knowledge sources connected (CRM + Helpdesk + Docs)
[12:04:38] Tooling enabled: calendar, payments, ticketing
[12:05:09] Guardrail: escalation if sentiment drops below threshold
[12:05:52] Call flows validated (ASR, intent, fallback)
[12:06:18] Shadow mode running — capturing transcripts & outcomes
[12:06:50] Production cutover ready — routing rules staged
Tip: click “Quick demo” in the top-right to preview the funnel.

Two service classes. One goal: better support outcomes.

Choose the commercial model that matches your risk tolerance and speed: performance-based delivery, or usage-based flexibility.

Agents by outcome Best for: revenue + deflection

Outcome-based agents

Pay for results
bookings • qualified leads • deflection • containment

We design, deploy, and optimize agents with a defined KPI. You pay when the agreed outcome happens — not for experimentation.

  • Vertical-specific flows (intake, triage, billing, order status, renewals)
  • Instrumentation baked in: attribution, QA, guardrails, audits
  • Shadow mode → A/B testing → production rollout
  • Continuous optimization: prompts, tools, routing, KB, escalations
Defined success metricKPIs + thresholds, written upfront
Human handoffWarm transfer + context when needed
Speed to valueLaunch fast with proven blueprints
Enterprise controlsRBAC, logs, redaction, policies
Build an outcome agent
General purpose agents Usage-based

Agents by minute

Pay as you scale
voice + chat + workflow automations

Launch quickly with flexible, general-purpose agents. Meter usage by minute (voice) or interaction (chat), with clear visibility into cost and performance.

  • Multi-channel: web chat, SMS, email assist, voice lines, in-app
  • Knowledge + tools: connect CRMs, helpdesks, docs, payments, scheduling
  • Guardrails: escalation, safe completion, PII handling, fallbacks
  • Reporting: topics, resolution rate, CSAT signals, containment
Composable toolsAPIs + actions + connectors
Template libraryCommon intents & flows included
Cost visibilityMetering + budgets + alerts
Quality monitoringTranscripts, scoring, sampling
Launch usage-based
Salesforce HubSpot Zendesk ServiceNow Twilio Slack Teams Snowflake S3 / GDrive

From idea to production in a predictable sequence.

A simple delivery model: define, connect, validate, and scale—without guessing what “done” means.

1

Define the job

Pick the channel, intents, and acceptance criteria. For outcome agents, set the KPI and payout trigger.

2

Connect knowledge & tools

Unify docs, tickets, CRM, and workflows. Add actions like scheduling, payments, and ticket creation.

3

Run shadow mode

Observe real traffic safely. Evaluate transcripts, resolution, and escalation paths before cutover.

4

Optimize & scale

Iterate prompts, routing, guardrails, and KB. Expand coverage and measure deflection & conversions.

Voice-ready Low latency

Voice agents that sound on-brand

Natural conversations, smart fallbacks, and seamless human handoff—without losing context.

  • Intent + entity capture
  • Warm transfer with summary
  • Spam/safety guardrails
Operational Workflow-first

Agents that do work, not just talk

Turn conversations into actions: update records, create tickets, schedule appointments, and route tasks.

  • Tool calling + audit logs
  • Approvals when required
  • Policy-based permissions
Governed Observable

Measure what matters

Track containment, deflection, conversion, and agent quality—then iterate with confidence.

  • Topic analytics & QA sampling
  • Outcome attribution
  • Budgeting & usage alerts

Pricing that matches how you buy AI.

Use the toggle to estimate usage-based spend. Outcome-based is scoped per KPI and volume.

Estimator
Starter Usage

General Purpose — Starter

Launch a production agent fast with core guardrails and reporting.

$1,500
+ usage • includes 1 agent • core integrations
  • 1 channel (chat or voice)
  • Standard templates
  • Basic analytics
  • Email support
Get started
Most popular Usage

General Purpose — Growth

Multi-channel coverage with QA, sampling, and stronger controls.

$4,500
+ usage • up to 3 agents • advanced controls
  • Chat + voice
  • Tool calling + approvals
  • QA sampling & scorecards
  • SLA support
Talk to sales
Outcome Performance-based

Agents by Outcome — Performance

We commit to a KPI. You pay when outcomes occur (with agreed rules and attribution).

Custom
priced per outcome • volume • channel complexity
  • Defined KPI + payout trigger
  • Implementation + optimization
  • Attribution + reporting
  • Quarterly strategy reviews
Usage estimator By minute

Estimate usage-based cost

Quick model for voice usage. Adjust assumptions to match your traffic.

Estimated monthly usage: $0
0 total minutes • excludes platform subscription

Proof points teams care about.

Shorten handle time, increase containment, and improve customer experience—without sacrificing control.

“We launched a voice agent in shadow mode, fixed edge cases, then cut over confidently. Containment climbed week over week.”
Director of CX • Retail
“The difference was instrumentation. We didn’t just ‘try AI’—we tracked outcomes and improved like a real product.”
VP Operations • BPO
“Usage-based let us start small. Once we saw wins, we moved our highest-value flows to outcome pricing.”
Head of Support • SaaS
Outcome examples Common KPIs

What counts as an “outcome”?

Examples of measurable events you can price against (with agreed attribution rules):

  • Booked appointment confirmed in calendar
  • Qualified lead created in CRM (with required fields)
  • Ticket deflection / self-serve resolution without agent
  • Payment collected or order updated successfully
  • Verified identity + completed task (e.g., address change)
What you get Implementation

Delivery includes production hardening

Not just prompts—everything needed to run an agent in the real world.

  • Conversation design + edge case handling
  • Knowledge architecture + freshness strategy
  • Routing, escalation, and human handoff
  • QA sampling, evaluation, and reporting
  • Security posture aligned to enterprise needs

FAQ

Everything you need to decide between outcome-based and usage-based agents.

How do you define and verify “outcomes”?

Outcomes are auditable events (e.g., CRM record created with required fields, appointment confirmed, ticket deflected). We agree on the trigger, attribution window, exclusions, and reporting before launch.

When should I choose usage-based?

Usage-based is best when you want fast experimentation, broad coverage, and the ability to scale up/down with demand. Many teams start here, then move high-value flows to outcome pricing once stable.

Can you support voice + chat + workflows together?

Yes. We can start with one channel and expand. The same knowledge and tooling layer can power multiple agents with shared guardrails and reporting.

What about escalations and “human in the loop”?

Agents should escalate when confidence is low, policies require approval, or sentiment indicates risk. Handoffs include summaries and structured data so humans don’t restart the conversation.

Request a demo or scope an outcome.

Tell us your channel, your use case, and whether you prefer outcome-based or usage-based.

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