Custom AI Agents
AI agents that finish the job, not just draft the reply.
We design and ship agents grounded in your documents and wired into your systems, with guardrails, evaluation and human approval where it counts.
The problem
Most teams try a chatbot, get confident-sounding answers that are sometimes wrong, and stall. Answers are not outcomes: the ticket is still open, the record is not updated, the invoice is not sent.
Our approach
We build agents that retrieve from your approved knowledge, call your APIs and databases through scoped tools, and escalate to a person when confidence is low. Every agent ships with an evaluation set, so you can see accuracy before and after each change.
What you get
Capabilities
Retrieval-augmented answers
Grounded in your documents, wikis and databases, with source citations so answers can be checked.
Tool use and workflow execution
Agents create tickets, update CRM records, query systems and trigger workflows through permissioned tools.
Internal copilots
Assistants for sales, support, finance or operations that live where your team already works.
Guardrails and approvals
Policy checks, PII handling and human-in-the-loop steps for anything irreversible.
Evaluation and monitoring
Test sets, regression checks and production tracing, so quality does not silently drift.
Model flexibility
We pick the model per task and avoid lock-in, including private or self-hosted options when data must stay put.
Use cases
Where it pays off
- Support agent that resolves tier-1 tickets and hands off with full context
- Sales copilot that summarises accounts and drafts follow-ups from CRM data
- Document intelligence for contracts, policies and compliance questions
- Operations agent that reconciles orders, shipments and invoices
Tech stack
Tools we use
- Python
- TypeScript
- OpenAI
- Anthropic
- LangGraph
- pgvector
- Postgres
- AWS
Process
How the project runs
- 01
Discover
A free 30-minute call, then a written scope: goals, constraints, success metrics and a fixed first milestone.
- 02
Build
Short weekly iterations you can see and test. Each iteration is measured against your evaluation set.
- 03
Deploy
Production rollout with monitoring, access controls and a runbook, so your team is never guessing.
- 04
Scale
We measure against the agreed metrics, tune what matters and extend to the next workflow.
FAQ
Custom AI Agents: common questions
Related
Often paired with
Ready to talk about custom ai agents?
In 30 minutes we will tell you what can be automated, how long it takes and what it costs. Free, no obligation.