Built by engineers, not marketers.
AI2 Consulting was founded on a simple premise: enterprise AI rarely fails because of the model. It fails because of the infrastructure around it.
Our team comes from high-frequency trading and health tech, two fields where a wrong number or a leaked record is not an acceptable failure mode. We bring that discipline to AI. LLMs are components in a system, and the system is what has to be correct.
We run our own business on the agents we build. Our marketing pipeline runs on the CMO Agent Suite, under the same approval gates, least-privilege identities and cost controls we deploy for clients. If a guardrail is inconvenient, we find out first.
We work with enterprise platform teams and with mid-size businesses that have no platform team at all. Either way, the goal is a system your people can own and operate after we leave.
“Most consultancies show you a demo in a notebook. We show you a Docker container running in your VPC.”
What we won't compromise on
Numbers never come from a prompt
Scores, forecasts and totals are computed in versioned, parameterized SQL. The model chooses what to ask for; it has no mechanism to produce the figure itself.
External actions wait for a human
Publishing, posting, paying and emailing are halted at runtime by a platform-level gate. Approvals are bound to the exact arguments and expire.
Agents cannot approve themselves
Approval lives outside the agent's toolset and is reachable only by an authenticated person. It's enforced by IAM, not by instructions.
Least privilege, per tool
The runtime identity holds no data permissions. Each tool impersonates its own narrowly scoped service account at call time. No keys on disk.
Spend is bounded twice
An in-process token cap stops a runaway call before tokens are spent, and a budget alert catches drift across runs.
Every step is traceable
Routing, tool calls and gate decisions land on one OpenTelemetry trace, so you can audit why an agent did what it did.
Ready to put an agent into production?
Tell us about the workflow. We'll tell you honestly whether an agent is the right answer, and what it would take to make it safe.