AI Strategy
Turn AI from hype into useful outcomes. We help you choose practical use cases, prepare data, and run responsible pilots that prove value without overextending your team.
For SMBs, the problem is focus
Teams get stuck between vendor demos and scattered experiments. Without clear targets, AI adds cost and complexity with little return.
What we do
- Identify decision-support and automation opportunities
- Assess data quality, access, and guardrails
- Define pilot scope, metrics, and success criteria
- Guide build/buy choices and integration path
Outcomes
- Validated use cases within 4–6 weeks
- Measured lift in cycle times or accuracy
- Fewer spreadsheets, clearer ownership of data
- Guardrails for governance and security
- Roadmap for next two quarters
Example scenario
Customer support team triages emails manually. We design a classification+drafting pilot using existing ticket data, measure handle-time reduction, and integrate into the workflow.
FAQ
With a single, narrow use case that touches existing data and a measurable outcome—usually decision support or summarization.
No. Start with the data you have. We define a fit-for-purpose data path and uplift over time.
We set light governance: access, approvals, testing, and monitoring aligned to your context.
We evaluate build/buy options and design for portability where it matters.
Discovery (2 weeks), pilot (2–4 weeks), and a decision to scale or iterate.