Ongoing AI Advisory
Ongoing advisory for governance, cost, and the roadmap.
A deeper engagement for the roadmap, AI governance, AI cost control, build-versus-buy calls, and board reporting. It produces the AI Systems Map. Lighter ongoing continuity follows a workshop, or that deeper engagement, once the map exists.
The deeper engagement produces the AI Systems Map.
Lighter ongoing continuity follows a workshop, or that deeper engagement.
What the engagement covers
- 01
Roadmap
The technology roadmap and the security plan, written so they connect.
- 02
AI governance
Risk classification, lifecycle, data governance, vendor evaluation, and metrics.
- 03
AI cost control
Budgets, usage limits, and model choices for every AI deployment, so token spend does not outrun the value it delivers.
- 04
Build versus buy
Build, buy, or wait: the call on the next AI vendor.
- 05
Board reporting
What we will show the board about AI risk, in business terms.
Lighter continuity
The same offer, after the map exists.
Open after a Full-Day AI Strategy Workshop, the deeper engagement, or equivalent discovery. Planning stays regular, and the map stays current.
- 01
Cadence
A steady planning rhythm, with a longer look when the roadmap needs it.
- 02
Living inventory
Systems and agents updated as you ship.
- 03
Reviews
Board reporting kept current when the business needs it.
- 04
Continuity
AI governance and the systems map stay current.
The AI Systems Map
One AI and security systems map.
The deeper engagement produces one view of the company. Security and AI are lanes on that page. The same written discovery used for a Full-Day AI Strategy Workshop starts the work: how work runs, what technology costs, and which projects would move the business.
- 01
Value, cost, and deployment risk
Every system in the stack, and every AI agent, placed on the value it creates, what it costs to run, and how risky it is to run. Risk covers talent, technical fit, and cybersecurity.
- 02
Adoption
Each item tagged planning, piloting, deploying, or already in production.
- 03
Privilege
For each system that can act: what it can touch, what it cannot, whose credentials it runs on, and who is on the hook. This is the security lane.
- 04
Autonomy A0 to A4
Each agent scored on how far it can act without a human, and where a person must sign off. This is the AI lane. It is the test a reviewer runs, not a model-quality score.
- 05
The order of work
What to build, what to fence, and what to retire from here.
That map is the source for the roadmap, for build-versus-buy calls, and for what we show the board about AI risk.
What the map looks like
Value, cost, deployment risk, and adoption.
Layout below is a sample, not a client artifact. Privilege and autonomy are columns, not a separate deliverable.
AI and security systems map
Redacted treatment
| System | Value | Cost | Risk | Adoption | Lane |
|---|---|---|---|---|---|
| records-sync | Med | Med | Low | Production | Privilege: read |
| priorauth-04 | High | High | High | Piloting | Autonomy A2 |
| dispatch-07 | Low | Low | Med | Planning | Autonomy A1 |
| invoice-code | Med | Med | Low | Production | Privilege: write |
Sample layout. Not a client artifact.
Who it is for
Founders, CEOs, COOs, and boards at companies putting AI to work. We answer in business terms: what to fund, what to fix, what to accept, and what to retire.
What it is not
Not a managed service. Not an agent runtime. Not a second invoice. One company. One invoice. Testing the plan, when you want it tested, is Cyber Defense Tactics.
A shorter way in
A Full-Day AI Strategy Workshop or a Half-Day AI Strategy Workshop is the punch list first. Lighter continuity is open after either workshop, this engagement, or equivalent discovery.