AI strategy and consulting that finds where AI fits your business, what it needs to work, and what to build first.
About AI Strategy & Consulting
AI strategy is the work of deciding where artificial intelligence will actually help your business, and where it will not. It starts from your goals and your processes, not from a tool, and it ends in a short list of use cases ranked by value, effort and risk.
Many organisations start AI pilots without that step and stall before production. A clear strategy gives you an honest view of your data, skills and systems, so the first project is one you can finish and the next ones build on it.
What is included in AI Strategy & Consulting
The typical building blocks. Scope is agreed with you in writing and tailored to your situation.
Opportunity workshops
Sessions with the people who run the processes, to find repeatable work where AI can help.
Use case ranking
Each idea scored on value, effort, data readiness and risk, so priorities are clear.
Data and systems review
A look at what data you hold, where it lives and whether it is usable for AI.
Build, buy or partner view
Guidance on when to use an off-the-shelf tool and when custom work is justified.
Risk and policy outline
A starting position on data handling, human review and acceptable use.
Phased roadmap
A sequenced plan with owners, so the first project can start with confidence.
Why teams choose AI Strategy & Consulting
Focus on what pays back
Effort goes to the few use cases that matter instead of scattered experiments.
Fewer stalled pilots
Data, ownership and approval questions are answered before building starts.
A shared plan
Leadership, operations and IT work from the same written roadmap.
This is a good fit if
- You want to use AI but are unsure where to start.
- You have tried pilots that never reached production.
- You need a plan you can show to your board or your team.
Does this sound familiar?
Pilots that never reach production
Answers that are not grounded in company knowledge
No clear policy for data, risk and human approval
Works well with
Other AI & Intelligence services that often come with AI Strategy & Consulting.
How it fits together
A typical reference architecture, from your data to the people who use it.
- Layer 1Your data and documents
- Layer 2Retrieval and guardrails
- Layer 3Model and approved tools
- Layer 4Apps, CRM and channels
Technology we typically work with
Six stages, the same every time
You always know which stage you are in and what comes next.
- Stage 1
Discover
Workshops and stakeholder interviews to define goals and constraints.
- Stage 2
Assess
Current-state review of systems, data, security and spend.
- Stage 3
Architect
Target design, integration map and phased plan with owners.
- Stage 4
Implement
Build in short releases with demos, tests and staging sign-off.
- Stage 5
Optimize
Measure against agreed KPIs and tune performance and cost.
- Stage 6
Manage
Monitoring, support and a monthly review with an account manager.
Security and governance
How the work is kept safe and accountable.
- Per-tenant retrieval and tool allowlists
- Prompt-injection defences and rate limits
- Human approval for commercial or operational actions
Industries we have worked in
Ways to work together
Scope and price are confirmed in writing by a consultant after discovery.
Assessment
A fixed-scope review that ends in a written roadmap you can keep, with or without us.
- Current-state review
- Ranked priorities
- Written roadmap
Project
Defined scope, milestones and acceptance criteria for building or migrating something specific.
- Phased plan with owners
- Short releases and demos
- Handover and training
Managed
A monthly retainer once it is live: monitoring, support and a regular review.
- Monitoring and backups
- Named account manager
- Monthly review
What clients say about working with us
We were comparing options for AI Strategy & Consulting. Questions were answered directly, including the ones about trade-offs. The result was simple to explain to everyone.
We came in unsure where to start with AI Strategy & Consulting. They explained the options in plain words and let us decide. It was a calm, well-organised project.
The first call about AI Strategy & Consulting set the tone. The work was split into small steps we could review. It felt like working with our own team.
Our team had tried to sort out AI Strategy & Consulting alone. They explained the options in plain words and let us decide. We always knew where things stood.
Our AI Strategy & Consulting project had stalled before we called Bedre. They told us when something was not a good fit for us. The documents they left behind are still useful.
Our AI Strategy & Consulting project had stalled before we called Bedre. The work was split into small steps we could review. It felt like working with our own team.
Not always. Some use cases rely on documents and processes you already have. The strategy work checks what is available and what is realistic.
No. The output is a plan and a ranked list of use cases. Tools and vendors are compared against your needs, not assumed.
It depends on the size of the organisation and how many teams are involved. The scope and timeline are agreed in writing before work starts.
You do. Domains, cloud accounts and data stay in your name wherever possible.
Usually yes. The Architect stage lists connectors and any limits.
Ready to scope AI Strategy & Consulting?
Tell us the outcome you want. We will bring the plan.