We embed. We build.
You own it.
We embed with your team, build inside your stack, and hand over the system. Retail, finance, telecom, logistics — in production today.
Your engineers have a workforce. Your operators have a chat window.
Your most experienced engineers, marketers, and operators spend hours each week on triage and context-gathering. Chasing bugs across logs and services. Pulling customer context before every call. Work an agent built around their routine could clear in minutes.
Your AI engineers have been running a private workforce for a year. Marketing, sales, ops, revops — the teams closest to the business — have a chat window. The leverage gap is roughly ten to one.
You want agents doing real work on real systems, not sandbox demos. That means permissions, human checkpoints, and audit trails that security and legal will sign. Not a vendor pitch — a partner who has shipped this.
The model is the easy part. The expertise and the permissions are the work.
Your senior people know how to do the work. Nobody has encoded it. So every routine keeps costing their attention.
The systems an agent needs — logs, cloud, CRM, databases, secrets — each carry different risk. One permission model fits none of them honestly.
Before an agent ships, someone maps the expertise that isn’t written down and draws the lines: which systems, which actions, which checkpoints, which audit trail.
- Run the routine — PR reviews, bug triage, research briefs, end to end
- Trace issues across logs, databases, services, and frontends in one pass
- Pull context from Gmail, HubSpot, Drive, and your codebase before every call
- Hold context across sessions so nobody re-explains the same thing
- Delegate to specialist sub-agents and hand work back cleanly
- Draft, compare, and summarise at a scale one person cannot match
- Sign off before anything touches secrets, credentials, or customer data
- Review what’s customer-facing before it leaves your walls
- Judge first-time incidents the agent hasn’t seen
- Decide when a task escalates out of its scope
- Call the commercial decisions — terms, pricing, partnerships
- Own the outcome whenever an agent delivers it
We come in. We map the expertise. We draw the lines. Then we build the system that runs inside them.
Six things. Shaped to your people and your stack.
Access Audit
We map how AI is actually used across your company — which teams, which tools, which workflows — and which systems, data, and credentials those agents can or should reach.
Agent & Skill Design
For each real workflow, we design the agent and the skills around it: role, tools, context, handoffs. Specialists built around your senior people’s routines, not generic chatbots.
Permissions & Handoffs
Who touches what, under which conditions, with which escalation. Permissions architecture your security team will sign, and agents that respect it.
Human-in-the-Loop
Checkpoints for the sensitive work — approvals, sign-offs, audit trails. Agents move in parallel, humans stay on the decisions that matter.
Team Enablement
Your team learns by building alongside us. By the time we leave, they own the agents, skills, and permissions — and can extend them.
Ongoing Oversight
Monthly cadence: new agents, new skills, new integrations, post-release reviews, incident response, a direct line when something breaks. Optional.
Tools come and go. The layer above them doesn't.
Tooling moves too fast to bet on one vendor. We design the layer that sits above your harnesses — the agents, the skills, the permissions, the audit trail — so your system survives the next one, too.
If it runs agents, we build the layer around it.
Four phases. First value in weeks.
Discover
Workshop with your teams. We map how AI is used today, which senior workflows are costing hours, and which systems an agent would need to touch — with the risk on each.
Design
Agent roles, skills, orchestration, permission model, human-in-the-loop checkpoints, rollout sequence. Short documents, real decisions.
Embed
We build alongside your team in your tools. Agents, skills, integrations, handoffs, dashboards — with permissions and audit trail baked in. Weekly demos, not quarterly reveals.
Transition
Your team takes the wheel. They own the agents, the skills, and the guardrails. We stay on retainer for new agents, incidents, and quarterly reviews — or we step away.
We've shipped agents through three framework waves. Long enough to know which patterns survive a model swap.
We were stitching tool-using LLM workflows together before the field had agreed on a name for them. The frameworks that looked unmissable in 2023 are mostly forgotten now. The hard problems — context, permissions, recovery — didn't move. Those are what we install.
One orchestrator that sees every client, every project, every deadline. It delegates to sub-agents, watches queues, and escalates to a human only when something genuinely needs attention.
Specialist agents for each routine — research, PR reviews, bug tracing, reporting, delivery. They run in parallel, hand back to humans at the checkpoints, and log what they did.
Permissions and audit trails are baked in, not bolted on. Every agent knows which systems it can touch and where a human has to sign off. The same patterns we build for our clients.
One call. One honest read.
Thirty minutes. You tell us what you're trying to do. We tell you whether Enable, Operate, or neither fits.