Governance
Most AI implementations skip governance entirely. That works until it doesn't, until AI sends something wrong to a client, touches data it shouldn't, or makes a decision nobody can explain. Governance is built into every Jarvis Strategies engagement from the start, not bolted on after.
Who's responsible when AI makes a decision in your business? Clear ownership is assigned from the start, not negotiated after something goes wrong. Every AI-assisted output has a named human who owns it.
What data is AI touching? What stays off-limits? Your client information, your pricing, your IP, and your team's work all get explicit lines, written down, not assumed.
AI outputs need human review before they reach a client, a bid, or a contract. Checkpoints are built into every workflow so your team stays in control of what goes out the door.
Your team and your clients should know where AI is being used and where it isn't. No black boxes. No surprises. If a client asks, you have a straight answer.
A wrong number in a proposal isn't an embarrassment, it's a contract. A leaked bid price isn't a glitch, it's a lost job. Construction and trades businesses run on documents that carry real legal and financial weight.
That's exactly why the "move fast and see what happens" approach to AI doesn't survive contact with a trades business. The guardrails are what make the speed usable.
Every engagement, from the CAD $300 Scan to full implementation, includes governance thinking from the start.
Or call 250-258-4465, you get me, not a menu.