AI STRATEGY CONSULTING
Decide where AI can create value and what it will take to deliver.
RedEx helps business and technology leaders turn an AI ambition into a practical investment decision. Assess the workflow, available data, integration requirements and organisational readiness, then define priorities your delivery team can act on.
Prioritise the opportunities
Compare use cases against value, feasibility and operational constraints.
Explicit assumptions
Identify the data, integration and adoption conditions behind the business case.
Define the first commitment
Define prerequisites, validation activities, and decision points for delivery.
Give delivery a clear brief
Connect priorities with owners, dependencies and success measures.
START WITH YOUR SITUATION
When a strategy engagement helps
You have several possible use cases but no shared basis for choosing between them. A pilot has shown promise, yet the route into daily operations remains unclear. Or a platform decision needs a business case that accounts for implementation, adoption and ongoing cost.
The engagement starts with the decision you need to make and the evidence required to make it.
What you receive
- A prioritised set of use cases, with business owners and the assumptions behind each opportunity.
- A readiness assessment covering relevant data, systems and operating constraints.
- An options assessment covering existing tools, integration and custom development.
- A business case with baseline measures, cost drivers, dependencies and risks.
- A delivery roadmap defining the first scope, decision gates and responsibilities.
HOW WE HELP
Choose a practical starting point.
The scope and schedule are agreed after an initial review.
A working prototype or implementation is a separate deliverable when included in the engagement.
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A focused decision
Examine one workflow and decide whether to proceed, change scope or address a prerequisite first.
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A coordinated roadmap
Align initiatives around shared priorities, technical dependencies and available capacity.
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Ongoing advisory
Review decisions and progress as evidence changes, helping sponsors keep the roadmap connected to operational results.
How we work
From strategy to a specific workflow
Bring the context that matters
A process owner, a description of the current workflow, representative inputs and an overview of the systems involved are useful starting points. Where information is incomplete, we make the gaps visible in the recommendation.
1. Understand the business decision, current workflow and cost of the problem.
2. Test feasibility against data, systems, ownership and adoption requirements.
3. Compare options and sequence the work around value and dependencies.
4. Agree the next investment decision, delivery scope and success measures.
BUYING QUESTIONS
Before you commit.
What Is AI Strategy for Business?
AI strategy for business defines where AI can create value, what it will take to implement, and how results will be measured. It connects business priorities with data readiness, existing systems, investment requirements, and the people who will use and manage the solution. As part of a broader digital transformation strategy, it helps leaders decide which opportunities to pursue, which assumptions to test, and which prerequisites to address first.
What separates AI strategies that deliver ROI from those that stall in pilot?
The primary reason AI strategies fail is not technology selection but production readiness. McKinsey reports that 80% of AI pilots are never designed for enterprise-scale deployment from day one. Strategies that succeed treat production integration as a requirement from sprint one, not an afterthought. RedEx co-authors every AI strategy with solution architects who validate technical feasibility before any recommendation reaches the boardroom.
What does an AI strategy engagement produce and how long does it take?
A typical RedEx AI strategy engagement takes 6 to 10 weeks and delivers concrete outputs: a digital maturity scorecard, an AI readiness audit, an engineering-validated technology roadmap, a prioritised use case matrix, a risk-adjusted ROI model, a vendor evaluation framework, a change management playbook, and a governance and compliance blueprint. Every recommendation is validated by solution architects before delivery.
Do we need perfect data before starting an AI strategy?
No. Part of every RedEx AI strategy engagement is a data readiness assessment that identifies where your data is sufficient for immediate AI deployment and where it needs remediation. Most organisations have at least 2 or 3 use cases where existing data quality is good enough to deliver value within 90 days. We identify those first and build the longer-term data foundation in parallel.
Does strategy include a proof of concept?
The assessment establishes which information is sufficient for the proposed use case and which gaps must be addressed before it can proceed.
What determines timing and cost?
The number of workflows, stakeholder availability, system complexity, data access and depth of validation required.
What does AI strategy consulting deliver?
AI strategy consulting produces a prioritised opportunity assessment, readiness findings, an options comparison and a delivery roadmap. A prototype or implementation is separately scoped when needed to test feasibility or deliver the chosen use case.
WHAT THE WORK LOOKS LIKE
A decision brief your sponsor can use
Illustrative deliverable: a use-case decision brief
For a product-content workflow, compare the existing manual process, configuration of existing software and a custom integration. Record the source of product facts, review effort, expected volume, dependencies and total operating cost. Recommend proceed, validate or defer, with the evidence needed at the next decision.
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Baseline
Preparation time, review time and rework per batch.
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Feasibility
Source completeness, system access and accountable reviewers.
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Decision
Investment assumptions, sensitivity to volume and a named sponsor.
Technical and operating considerations
The business case separates gross time saved from the time still required for review, exception handling and operation. A validation scope should test the assumption most likely to change the investment decision.
RELEVANT CONTEXT
Related strategy experience
- PREMIUM Case Study
One partner from the next decision through ongoing operation
Bring your priorities, current platforms and the stage where you need support. We can start with strategy, take on implementation or maintain and improve an existing application. Each engagement defines its scope and responsibilities.