Agent pilot
One real workflow, from design to measured result, in two to four weeks.
Practice 03 ยท Agentic AI
Agentic AI that does real work.
We design and deploy AI agents and automations that handle documents, operations and internal workflows. We also repair AI projects that stopped working.
What we do
In this practice.
- Agent systems for documents, research and operations
- Workflow automation for repetitive internal processes
- AI adoption and training for teams
- Evaluation, observability and cost control
- Governance, compliance, guardrails and privacy review
- Tool integrations: MCP servers and internal APIs
- Repair of applications originally built with AI
- GEO: visibility inside AI search engines
- Voice agents and WhatsApp automation
- Market and competitor monitoring
- Local and open source agent setups
This list is a sample, not a limit. If your task lives in AI, we scope it.
How we approach it
Working principles.
01
Measured before automated
We define what success looks like and how it will be measured before writing prompts or code.
02
Human in the loop
Where mistakes are expensive, a person approves. Where they are not, the agent runs.
03
Visible costs
Token and infrastructure spend is tracked from day one, with limits that cannot surprise you.
Typical engagements
Ways this usually starts.
Automation of an operation
A larger process automated end to end, scoped by phases.
AI cost and quality review
A one-week review of an existing AI system: quality, risk and spend.
Deliverables
What you get.
- A working agent or automation in production.
- Evaluation: how quality is measured and what the limits are.
- Guardrails: what the system will and will not do.
- A runbook, including failures and how to respond.
- Cost tracking for tokens and infrastructure.
Inputs
What we need from you.
- The workflow to automate, with examples of good and bad results.
- Sample documents or data, under NDA if needed.
- The systems it must talk to.
- A success metric you care about.
Process
How it runs.
01
Use case and metrics
We pick one workflow and define what success means before building.
02
Data and integrations
We map inputs, outputs and the systems involved.
03
Prototype
A working version on real cases, measured.
04
Guardrails and evaluation
Limits, fallbacks and quality checks.
05
Rollout and monitoring
Production rollout with visible cost and quality.