How we work
Not a project. A partnership.
We don't build and disappear. The engagement doesn't end when the agents are deployed.
An operations mapping session. We document how the business actually operates — what decisions live in the owner's head, what falls through when the usual person is out, what the team does every day that nobody has ever written down.
Output: A prioritized list of 5–8 automation candidates, ranked by: time cost, consistency risk, and revenue proximity.
A phased build sequence. We define exactly which agents get built, in what order, connected to which systems. Each agent spec includes: trigger, logic, output, measurement, and override path.
Output: A signed-off build plan. The owner approves every agent before any code is written.
Agents deployed on the client's infrastructure, connected to systems already in use. We don't build standalone apps — we build integrations that live inside the tools the business already uses (Teams, Slack, Google Workspace, existing CRMs).
Output: Production agents running on your infrastructure, with monitoring and override controls.
After deployment, we stay. Monitoring, reporting, optimization, and evolution as the business changes. The agent that runs on day 1 is better on day 90. Most engagements evolve: new agents get added, existing ones get refined, the system grows.
Output: Monthly reporting on agent performance. Ongoing optimization. New agents as the roadmap expands.
Security posture
Built for production. Not for demos.
Every agent is built with production security requirements from day one.
Credential handling
- →All API keys and credentials stored in Azure Key Vault or equivalent secrets manager — never in code
- →Secrets rotated on schedule, not just at breach
- →Principle of least privilege: each agent has only the permissions it needs
Data handling
- →No customer PII stored in agent logs
- →Outputs go to designated channels — never to personal inboxes or uncontrolled surfaces
- →Audit trail for every agent action
Human override
- →Every agent has an explicit override path
- →High-stakes actions (negative review responses, POs over threshold) require human approval before posting
- →Kill switch available for every agent — one setting change stops it
Scope control
- →Agents do exactly what they're built to do — nothing else
- →No internet access unless required by the agent's function
- →Output channels are whitelisted at configuration time
Tech stack
Standard tools. No lock-in.
Orchestration
- Microsoft Power Automate
- Azure Logic Apps
- n8n (self-hosted)
AI
- Claude (Anthropic)
- GPT-4o (OpenAI)
- Model selection per agent based on task requirements
Infrastructure
- Azure (primary)
- Vercel (web)
- GitHub Actions (deployment)
Integrations
- Microsoft 365 / Teams
- Google Workspace
- Most scheduling and CRM systems via API
Stop executing. Start governing.
The worst case: you do the mapping session and leave with a clearer picture of what's costing you — before spending anything on a build.
Start with an operations audit →