Custom AI Agents & Chatbots
Custom AI Agents & Chatbots that reason, answer, and act on your behalf
throughput on tasks where agents complete multi-step work end-to-end instead of suggesting the next click.
Custom AI Agents & Chatbots that reason, answer, and act on your behalf
Chatbots answer questions. Agents take action. The gap between those two is where most of the real value of AI is sitting right now — and most teams haven't crossed it because building reliable agents is genuinely hard.
We build production-grade AI agents that plan, use tools, call your APIs, and complete real work — not demos. Each agent is scoped to a business outcome, instrumented from day one, and gated by approval steps wherever the cost of a mistake is high.
That includes grounded chatbots and assistants: conversational front-ends that answer from your own docs, KB, and product data, cite their sources, and escalate cleanly to a human — backed by the same agent reliability underneath, so they can also take action, not just talk.
Built for production from the first commit
Outcome-scoped, not chat-scoped
Each agent has a defined job (e.g., 'close out tickets older than 14 days') and we measure it against that, not by chat quality.
Tool use that actually works
Agents call your APIs, query your data, write to your systems — with retries, validation, and rollback when things go sideways.
Grounded conversational answers
When an agent talks to customers, it answers from your docs, KB, and product data — citing sources, never hallucinating policies or specs.
Multi-channel with clean escalation
Web, mobile, WhatsApp, SMS, Slack, in-app — one brain, same answers. Detects when to hand off to a human, with full context, no restart loops.
Planning + reflection loops
Multi-step reasoning with self-checks. The agent notices when it's off-track and re-plans instead of blasting through a bad path.
Approval gates where it matters
Any action with real-world cost (money, customer comms, data writes) routes through a human approval until trust is earned.
Observable & auditable
Every decision and tool call is logged. You can replay an agent's full trajectory to see exactly why it did what it did.
Cost & latency budgets
We pin agents to per-task cost and time ceilings — no surprise bills, no 60-second user waits.
From scoping call to live system
Pick the right job
Not everything should be an agent. We start by finding a task — or a customer conversation — that's high-volume, well-defined, and tolerant of supervised rollout.
Build the toolset & knowledge base
Agents are only as good as the tools they can call and the content they answer from. We wire clean tool wrappers around your systems and index your docs, KB, and product data first.
Train and red-team
We run the agent against a benchmark of real cases and questions, intentionally try to break it, and only launch once it handles the long tail.
Roll out behind gates
Live with human approval on every action and escalation on every low-confidence answer, then progressively unlock autonomy as accuracy holds in production.
Real use cases, real outcomes
Operations agents
End-to-end ticket triage, scheduling changes, inventory adjustments — agent does the work, humans approve the edge cases.
Support & helpdesk assistants
Customer and internal questions answered instantly from your content with citations; complex cases handed to a human with the full conversation summary.
Sales research agents
Account research, prospect enrichment, and tailored outreach drafted with full context, ready for a rep to send or edit.
Compliance agents
Document review, policy checks, and exception flagging on inbound contracts and applications — at a pace humans can't match.
Custom AI Agents & Chatbots — questions, answered
Want Custom AI Agents & Chatbots in your stack?
Talk to us about your workflow and we'll come back with a working pilot plan.