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AI strategy consulting

Assess workflows, data and team readiness to choose AI opportunities that fit business goals.

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Business strategy and planning
01 / THE PROBLEM

When does this service help?

Many teams start with a tool before defining what success means. We help identify the real problem, constraints and a sensible first experiment.

Illustrative expected outcomes
Before

Business owners purchase disconnected AI tools without priorities.

Expected After

A ranked pilot roadmap includes assigned owners and clear evaluation criteria.

Business Value

Points technology investments in the right direction and reduces the risk of unused tools.

How to Measure
  • Cost per tested workflow
  • Staff adoption
  • Time saved in pilot
Industry Example

Example: A service business whose owner manages both sales and back-office work.

02 / SCOPE

What we can work on

  • Review business goals and current workflows
  • Assess data, team and tool readiness
  • Prioritize use cases and measurement criteria
  • Plan a pilot with human oversight
Illustration of AI Strategy & Consulting
03 / APPROACH

How we approach the work

We speak with stakeholders, examine real workflows and data, then prioritize use cases by impact, readiness and risk before defining the next scope.

PROJECT BRIEF

Choose a practical first AI use case

For businesses deciding where to start, compare workflows by frequency, data quality, risk and measurable outcomes before choosing a pilot.

Deliverables to agree before starting

A prioritised use-case list, current workflow map, pilot scope and criteria for expanding, revising or stopping the trial.

What to prepare

Choose one process and describe its users, time spent, problems and shareable examples. A full customer database is not needed for an initial discussion.

Download the blank AI pilot planning worksheet (TXT)

Scope and limitations

Consulting is separate from implementation and tool subscriptions. Savings remain hypotheses until tested against a baseline.

Comparing related AI services

Consulting helps you evaluate workflows and choose a pilot before building. If your goal is to develop personal skills for daily tasks, see Private AI Training. If you already have clear rules and want to connect workflows across systems, explore AI Automation & Workflow Software.

Worked example: drafting a customer reply

Simulated learning example, not a client case or measured result.

A service business wants AI to draft replies. Start with three anonymised questions, an approved FAQ and the current reply template. Record the time needed to draft and review each reply before testing AI.

  • Pilot scope: draft only; a staff member checks every reply before sending. No automatic sending or connection to customer records.
  • Acceptance: every service fact matches the FAQ; no invented prices, booking availability or policies. Missing information must become a clarification question.
  • Decision: revise if replies need repeated corrections; stop if quality is unsafe or total drafting plus review time is not worthwhile; expand only after the reviewer confirms quality and the baseline comparison supports it.
Discuss your requirements →
04 / COMMON QUESTIONS

Before we begin

Can we start if we do not know where AI would help?

Yes. Start with repeated work, information bottlenecks or a problem affecting customers. Bring an example of the current process, your goal and constraints. You do not need to choose a tool or model first.

What does an AI strategy engagement deliver?

The agreed scope can include a workflow map, opportunities ranked by usefulness and feasibility, data readiness, and a pilot brief with an owner and evaluation criteria. Development and integrations must be scoped separately.

Do we need to buy more AI tools before the consultation?

No. We first review existing tools and accounts. If another service is needed, its purpose, cost and limitations are presented for approval before purchase. Some problems can be addressed by changing the process without adding software.

How do we decide whether to continue a pilot?

Record a baseline such as time, errors and cost, then compare similar tasks during the pilot. Include human review time and tool costs. Agree on criteria for continuing or stopping rather than judging value from impressions or a demo alone.

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