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Blake Technologies

Plan & enable

AI Strategy & Consulting

AI consulting for businesses and private equity firms. Prioritize automation opportunities, assess investment assumptions, and plan software delivery.

Discuss your AI project ↗
Choose the next investment
Lower delivery uncertaintyHigher delivery uncertainty
Clear business valueDefine a first releaseTest the critical assumption
Unclear business valueEstablish a useful baselineReframe or defer
A discussion map, not a score assigned to your business.

Start with a decision worth improving.

A useful AI strategy starts with a specific operating problem. Blake Technologies works with leadership and the people doing the work to understand delays, repeated decisions, and information gaps. We compare AI with simpler software changes and process improvements before recommending an investment. The result is a delivery plan grounded in your systems, responsibilities, and budget.

For service businesses, AI strategy can start with customer intake, estimating, dispatch, or billing. For private equity firms and operating partners, the work can compare opportunities across portfolio companies and identify where shared software makes sense. We connect each proposed investment to a process owner, a delivery plan, and a measurable operating outcome.

From competing ideas to a funded next step

An evidence-led investment path
  1. 01
    ObserveWorkflows and friction
  2. 02
    CompareAI, software, process change
  3. 03
    DecideValue and uncertainty
  4. 04
    SequenceOwners and dependencies
Each step produces something leadership can review.

Three lenses for the investment

01

Opportunity selection

Examine workflows and score candidate projects by available evidence, implementation effort, business relevance, and the consequence of a wrong answer.

02

Investment planning

Separate development expense from recurring model, infrastructure, review, and support costs. Identify the assumptions that would change the decision.

03

Adoption sequencing

Define a first release, accountable owners, dependencies, and evidence required before expanding to more teams or businesses.

Make the recommendation actionable

Your engagement outputs

  • Prioritized opportunities with assumptions and dependencies
  • A phased delivery roadmap and proposed success measures
  • An initial architecture and operating-cost discussion

Scope, schedule, team, and support are agreed for the engagement.

A useful distinction

Does a strategy engagement commit us to development?

No. Findings can support a decision to build, buy, improve an existing process, or defer. Any implementation has its own agreed scope. For private equity portfolios, we distinguish reusable capabilities from the needs of individual companies.