Assisted
Delegate busywork — research, CRM updates, drafted emails — to a single agent. The team steers; the agent accelerates.
Free scan of your stack and your day-to-day operations. We hand back a PDF report ranking the AI agents worth building next, sized and sequenced against a four-level adoption ladder.
We start where every honest engagement starts: by reading what you actually have. The scan is free because the alternative — guessing what to build — costs both of us more.
Our engineers (one of the founders + a solutions engineer) walk your stack and a handful of workflows your team would like to delegate. The output is a PDF that your finance person, your CTO, and your line-of-business owner can all read without re-litigating the scope.
Every recommended integration is mapped to one of four levels. Start where the workflow is honestly today; the roadmap moves it up only when the team and the data are ready.
Delegate busywork — research, CRM updates, drafted emails — to a single agent. The team steers; the agent accelerates.
Teach the agent your playbooks. It starts owning end-to-end workflows like outbound or meeting prep.
Once playbooks solidify, route them to a multi-agent system that runs autonomously on pipeline signals. The team handles escalations.
The fleet optimises itself — building new agents, running its own evals. Humans set strategy.
We map every system the agents will eventually touch — warehouses, CRM, ticketing, identity, observability — and where the access boundaries are.
We sit with the team that will own the agents and walk three to five workflows. Each one gets scored on data readiness, decision risk, and willingness to actually adopt the result.
Each candidate workflow is scored against the L1→L4 ladder so the report reads as a sequence — what's ready for L2 today, what stays L1 until the data work lands, what's two quarters from L3.
Every recommended agent comes with a default SDK (Vercel AI SDK, Claude Agent SDK, OpenAI SDK, or Google ADK) and a one-line explanation of why.
Each candidate has a ballpark cost per agent and a ranked confidence so the document survives the procurement conversation.
We scope the workflows we're walking and get read-only access to the systems we need to scan.
Founder + engineer pair through the stack with your team. We are not interviewing; we are reading.
We sit with the team that will own the agents. Each workflow gets scored on data readiness and decision risk.
We write the PDF and review it with you once before shipping the final version.
Final PDF + a one-hour readout call. You can run with it, or roll into deployment.
We do not invoice for the scan. The deliverable is a PDF you keep regardless of whether you continue with us.
PDF report under your branding, the per-workflow scoresheet, and the SDK shortlist for each recommended integration.
Pair with one of our solutions architects. Two weeks from kickoff to a deployed, evaluated, observable agent in your stack.