Services
Clear scopes. Clear deliverables. No open-ended "AI transformation."
Every engagement starts with a specific workflow and ends with something you can measure. Most clients begin with an Audit, build a Trust Layer, then deploy an Agent Team — but each service stands on its own.
Offer 01 · 1–2 weeks
Find your best AI opportunity
The engagement: Decision Infrastructure Audit
Before you buy anything, learn where AI would actually pay off in your business — and where it would create chaos. We map how work and decisions really flow, then score which workflows are ready.
What you get
- Workflow map of how work actually moves
- Decision bottleneck map
- Task inventory
- Data and source map
- War-room workflow scoring
- RRV delegation assessment
- Top 3 AI pilot opportunities
- Governance and adoption risk review
- A recommended next step
Good fit if you are…
- Unsure where to start with AI
- A leader overwhelmed by AI noise and vendor pitches
- A team with scattered, undocumented processes
- Considering automation but lacking a clear scope
Offer 02 · 2–6 weeks
Build AI you can trust
The engagement: Trust Layer Sprint
Connect the documents, spreadsheets, emails, and system data behind one workflow — so every answer carries its source, every number comes straight from your systems, and anything odd gets flagged instead of buried.
What you get
- One searchable home for everything behind the workflow
- Every answer linked to its source
- Key numbers pulled from your systems — never generated
- Anomalies flagged automatically
- Draft dashboard or interface
- Documentation of trusted sources
- Human review process
- Initial KPI baseline
Good fit if you are…
- Working across scattered documents, spreadsheets, email, and CRM data
- In need of better visibility before any automation
- Skeptical of AI output because the underlying data is messy
Offer 03 · 6–10 weeks
Put AI to work on one workflow
The engagement: Agent Team MVP
One business process, handled by a small team of AI assistants — each with a single job, each checked before its work counts. Human approval is built in, and results are reviewed weekly. Not an autonomous free-for-all.
What you get
- A coordinator that routes the work (orchestrator agent)
- 2–4 specialist assistants, each with one job
- A validation step that checks output before it counts
- Human approval gates
- Escalation paths
- Workflow documentation
- User training
- KPI dashboard
- Weekly iteration cadence
Well-suited workflows
- Intake triage
- Sales prep
- Customer support routing
- Renewal workflows
- Document review
- Internal knowledge workflows
- Operations coordination
Supporting Services
Keeping the system — and the people — working after launch
AI Skilling & Training
Role-specific playbooks and hands-on training so your team uses AI in daily work without blindly trusting it. We teach verification habits, prompt patterns tied to real tasks, and clear rules for what to check before acting on AI output. Adoption comes from daily usefulness, not mandates.
Governance & Operating Model Design
Delegation policies, escalation rules, accountability structures, and measurement routines for AI-assisted operations. We define when AI can act, when it must ask, who owns each workflow, and how failures get logged, reviewed, and fixed — so scale never outruns control.
Not sure which engagement fits?
Start with the workflow that hurts the most. A short discovery call is usually enough to tell whether you need an audit, a trust layer, or a governed agent team.