Your exec team, built as agents. Not advisors. Operators.
A fractional CMO gives you advice. An AI CMO-as-agent drafts the quarterly marketing plan, models the channel mix, and queues the campaigns. You approve, it executes. Same shape for a CFO agent, a COO agent, and the ops your lean team cannot cover yet.
Discovery call → agent role scoping → first agent live in 4–6 weeks.
Built for founders, operators, and lean leadership teams who are running too thin to hire a full exec bench but outgrowing advisors.
Agents on your infra · 20+ years engineering leadership · 100+ production AI systems
The exec gap is bigger than fractional advisors can fill.
Four reasons lean leadership teams stay bottlenecked on exec-level work.
Fractional is too passive
A fractional CMO costs $10–25k/month to give you advice. You still have to execute it. The bottleneck did not move.
Hiring is too slow
A real CMO/CFO/COO takes 6+ months to hire, 6+ months to ramp. You cannot wait a year.
Generic AI is too generic
ChatGPT does not know your numbers, your pipeline, or your playbooks. Generic output is worse than no output.
Tools fragment the work
Fifty SaaS tools and nobody synthesizes. Ops leaders end up as human API gateways between them.
What an AI exec engagement delivers
Role-specific agents. Trained on your business. Operating in your tools. Always with a human approval gate.
- Agent scoped to a single role (CMO, CFO, COO, or a specific exec function)
- Trained on your metrics, docs, playbooks, and prior decisions
- Operates inside your tools (Slack, email, Google Workspace, CRM, BI)
- Human approval required for every material action
- Evaluation dashboard: what the agent drafted, what humans approved, what changed
- Scales to a team of agents sharing a context layer as the business grows
Scope before we sell you anything.
Free first steps before you commit.
Discovery call
Walk through where the lean team is stretched, which exec role would pay back fastest, and what 'good' looks like for that role.
A prioritized list of candidate agent roles.
Role + guardrails scope
Two-week scoping: what the agent will draft, decide, and execute; what always requires a human; what data it needs access to; what success looks like.
A role charter your board could sign off on.
Build and go live
Agent built, integrated, evaluated. Weekly calibration sessions with the founder/operator until outputs match their standard. Live with full human-in-the-loop approval.
A working AI exec operating your business, not advising about it.
What an AI exec looks like in practice.
Series A SaaS, 25 employees, no full-time CMO
The problem
Founder-CEO was personally running all inbound marketing, content strategy, and channel analysis. Had tried two fractional CMOs without meaningful leverage.
The outcome
AI CMO agent launched: drafts weekly content calendars, runs channel-mix analysis against pipeline data, queues ad creative for review. Founder approves and ships. Reclaimed 15 hours/week.
Which exec role do you wish you had hired yesterday? Let's design the agent version.
Design your agent teamCommon questions
Is this an autonomous AI CEO?
No. Every material action has a human approval gate. The agent drafts, analyzes, queues — the human decides. We do not build systems that act unilaterally in business-critical roles.
Which exec roles can you build?
CMO, CFO (modeling/planning, not compliance filing), COO, VP Product, VP Sales, Chief of Staff. Some roles are easier than others — the scoping call tells you which.
What does it cost?
First agent runs $200–400k, fixed price, for a 4–6 week build. Additional agents in the same context layer are typically 30–50% cheaper due to shared infrastructure.
Where does it run?
Your cloud (AWS/GCP/Azure). Your data, your tools, your auth. The agent is deployed as a private system, not a shared SaaS.
Does it replace hiring the role?
Sometimes. More often it delays the hire 12–18 months and reshapes what the eventual hire does — the human focuses on judgement and relationships, the agent handles execution and analysis.
What about compliance and audit?
Every agent action is logged — input, reasoning, output, approver, timestamp. SOC 2-ready audit trail. We've deployed under enterprise and regulated environments.
Is this the right fit?
Good fit
- Founder or lean exec team bottlenecked on a specific function
- Have tried fractional advisors and need more leverage
- Budget for a $200–400k first-agent build
- Comfortable with human-in-the-loop operations
Not a fit
- Looking for a fully autonomous AI (we do not build those)
- Need a human to build board relationships and close deals in person
- Budget below ~$150k
- Compliance-filing roles that legally require a human officer
Which exec role do you wish you had hired yesterday?
30 minutes with a CTO. Bring the role you'd hire next — and what's stopping you.