Everything between "we should use AI" and an agent doing real work.
Six services, each with a fixed shape and a clear way it is delivered. Start anywhere. Most people start with the audit or a single agent.
AI Readiness Audit
We score how ready your data is, find the work worth handing to an agent, rank it by payback, and write down what must never be automated.
The context layer
We shape HubSpot into the single record your agents will read: the right objects and properties, clean data, and your other systems connected.
Agent design and build
Prebuilt agents configured to your business, or custom agents for the work only you do. Voice, documents, email, portals and the systems around them.
Agent-engaged portals
Your customers log in, see what they need, ask in plain language, and the agent acts for them: reorder, reschedule, pay.
Agents beside your team
A companion for each staff member that knows their email, Teams, calendar and CRM, and the way your organisation works.
Managed run
We watch every agent, tune prompts and guardrails, keep costs inside a cap, and tell you in plain words what each one did.
Diagnose. Architect. Build. Run.
The same four steps on every build, from one agent to a full program.
Diagnose
What your data can support today, which agents pay back first, what must never be automated.
Architect
Each agent's job, what it may touch, who approves, how it hands off, what it costs to run.
Build
Configured or custom. Tested on real records, red-teamed, piloted with a person in the loop.
Run
We monitor, tune, control cost, and report what each agent did.
Bigger than one agent?
Programs that span teams and systems are run as consulting engagements with a named team.