AI agents for every team.
No engineers required.
Deploy AI agents that process documents, triage requests, and route approvals. They choose the right model, learn from your feedback, and track every dollar — so you don’t have to.
Your team wants AI. They have no way to get it.
Marketing, operations, HR, finance, legal support — every team sees what AI can do. The barrier isn't intelligence or willingness. It's infrastructure.
Engineering Is the Bottleneck
Deploying an AI agent that actually does useful work — processing documents, triaging requests, routing approvals — requires engineering resources that non-technical teams don’t have. Most organizations can’t serve every team that wants AI capabilities.
Building Internally Is Expensive
Companies are spending $250K–$350K+ per engineer to build bespoke AI skill systems. These internal efforts are fragile, single-tenant, and lack governance. Every company that builds internally is overpaying for a problem that should be solved by a platform.
Chat Tools Aren’t Enough
Teams cobble together fragile solutions with consumer-grade chat tools that offer no persistence, no oversight, and no integration with existing workflows. When the chat window closes, every interaction vanishes.
Adoption Without Governance
When teams do adopt AI on their own, there’s no audit trail, no approval workflow, no cost tracking. Individual productivity gains come at the cost of organizational risk that grows with every untracked interaction.
Every team gets AI. Your organization gets control.
Agent Finch gives non-technical teams the infrastructure to deploy AI agents on their own terms — while ensuring every interaction is auditable, governed, and cost-tracked from day one.
Build Without Engineers
Any team can create, configure, and deploy AI agents without writing code. An agent on Agent Finch is a persistent, configurable entity equipped with reusable skills and connected to your communication channels.
- check_circle No-code agent creation & management
- check_circle Connect to email, SMS, Slack, and phone
- check_circle Reusable skills that encode domain expertise
Govern From Day One
Every agent runs on operational infrastructure from the moment it’s created. Interactions are logged. Outputs pass through approval workflows. Costs are attributed and tracked in real time.
- check_circle Immutable interaction ledger
- check_circle Configurable approval workflows
- check_circle Cost attribution per task, client, and team
Improve Continuously
Agents learn from every user correction, choose the right AI model for each step, and get more accurate and cost-efficient over time — without engineering intervention.
- check_circle Self-improving from user feedback
- check_circle Automatic model selection per step
- check_circle Cost optimization that compounds over time
Agents that get smarter with every interaction
Your agents learn from user feedback, pick the right AI model for each step, and optimize their own costs — without any engineering intervention.
Continuous learning from feedback
Every time a user reviews, corrects, or approves agent output, that feedback is captured and applied. Your agents don’t just repeat mistakes — they adapt. No retraining, no engineering tickets, no waiting.
- check_circle Learns from approvals, corrections, and rejections
- check_circle Improves accuracy over time without retraining
- check_circle Transparent learning history for audit compliance
Automatic model selection
Your agents automatically route each step to the best AI model for the job. Simple extraction goes to fast, cheap models. Complex reasoning goes to powerful ones. You never think about model selection — the agent handles it.
- check_circle Right model for each step — automatically
- check_circle Reduces cost by up to 60% vs. using one model for everything
- check_circle No model expertise required from your team
Know exactly what AI costs. Control it.
See real-time cost breakdowns per agent, per task, per client. Set budgets, get alerts, and watch costs drop as your agents learn to route intelligently.
- check_circle Per-task, per-agent, per-client cost attribution
- check_circle Budget thresholds with automatic alerts
- check_circle Cost trend tracking with daily breakdowns
Built for organizations that take AI seriously
Interaction Ledger
Every AI exchange logged in a structured, searchable, immutable record. The complete commit history for AI work.
Approval Gates
Define review checkpoints where AI output must be approved by a licensed professional before advancing. Enforced, recorded, permanent.
Document Lineage
Track every version of every document with diffs, AI interaction links, and the complete chain from input to final artifact.
Cost Intelligence
Real-time cost dashboards with per-agent, per-task, and per-client breakdowns. Set budget thresholds and get alerts before costs surprise you.
Automatic Model Selection
Agents choose the best AI model for each step — fast and cheap for extraction, powerful for reasoning. No model expertise required from your team.
Continuous Learning
Agents improve from every approval, correction, and rejection. Performance compounds over time without retraining or engineering tickets.
Multi-Channel Agents
Deploy persistent AI agents across email, SMS, Slack, and phone. Each agent is a configurable entity equipped with skills — not a disposable chatbot.
Any Frontier Model
Run agents on Claude, GPT, Gemini, or any model. The platform adapts to new models as they launch — your agents get better without touching config.
AI adoption without the engineering bottleneck
Your team sees what AI can do. They want to use it. They don't know where to begin. Deploying useful AI agents today requires engineering resources most teams don't have. Agent Finch changes that.
Enterprise-grade security. Zero compromises.
Your client data never leaves your control.
Immutable Audit Trail
End-to-End Encryption
Zero AI Training Data Retention
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