AI Vision and North Star
We define what AI should achieve for your business over the next one to three years and align it to your corporate strategy, so every initiative points in the same direction.
AI Strategy Consulting Services
AI Strategy Consulting Services
Trusted across 20+ countries by Fortune 500 companies and growth-stage brands
Turn AI ambition into a board-ready strategy. Noseberry helps leadership teams define an AI vision, prioritise the use cases that matter, and build a phased, costed roadmap that ties directly to business outcomes. Over a decade of experience, 250+ digital solutions delivered.
Get a 30-Minute AI Strategy Session, FreeDefinition
What is AI strategy consulting?
AI strategy consulting is an executive advisory service that aligns artificial intelligence with your business strategy. It defines where AI will create the most value, sets the operating model and technology direction, and produces a prioritised, costed roadmap the leadership team can fund and act on. Noseberry delivers this as a vendor-neutral partner that also ships AI to production.
Key takeaways
- AI strategy consulting sets direction at the executive level. It sits above AI consulting and AI development.
- A typical engagement produces a prioritised use case portfolio, an operating model and a phased roadmap.
- Every recommendation ties to ROI, so it can secure budget and board approval.
- Noseberry is vendor-neutral and proven at scale, with 15+ Fortune 500 clients across 20+ countries.
2M+Lives touched
15+Fortune 500 clients
20+Countries served
250+Digital solutions delivered
Scope
What AI strategy consulting includes
We work with your leadership and technology teams to turn a broad AI ambition into a clear, fundable plan.
Use Case Identification and Prioritisation
We build a portfolio of AI opportunities and rank them by business value, feasibility and time to impact, so you invest in the few that matter, not the many that do not.
AI Operating Model and Team Design
We recommend how AI should be run across the organisation, whether centralised, federated, or through a centre of excellence, and define the roles and skills you need.
Technology and Platform Strategy
We set the direction on build versus buy, model choices and platforms, with transparent trade-offs across cost, control and risk.
Data Strategy for AI
We assess whether your data foundations can support AI and define the steps to close the gaps, because data readiness is the most common reason AI stalls.
Phased AI Roadmap
We sequence quick wins first and platform investments next, each with milestones, success metrics and budget ranges.
Business Case and ROI Modelling
We quantify the expected return on each initiative, so you can secure funding and prove value to the board.
AI Governance and Risk Strategy
We define the responsible AI, risk and compliance guardrails your strategy needs from the start, aligned to standards such as GDPR, HIPAA and SOC 2.
Change Management and Adoption
We plan how the organisation will adopt AI, including communication, training and the operating changes needed to make it stick.
Who this is for
Built for leadership setting AI direction
CEOs, CTOs, CDOs, heads of transformation and boards who need a clear AI direction, a fundable plan, and confidence that AI investment will pay off.
Signs you need it
- Leadership wants an AI strategy but there is no agreed direction.
- You have run pilots but there is no enterprise-wide plan.
- You need a board-ready business case and roadmap to unlock budget.
- Competing AI ideas exist across teams with no way to prioritise them.
- You are unsure how AI should be organised and governed across the business.
Cost & timeline
How much does AI strategy consulting cost, and how long does it take?
An AI strategy engagement typically runs a few weeks, depending on the size of the organisation and the number of use cases and data sources in scope. It can flow straight into delivery, where a proof of concept takes 2 to 4 weeks, a production-ready AI agent 4 to 6 weeks, and a full enterprise AI system 12 to 20 weeks. We share a clear budget range on your first call, before any commitment.
70%
Cost efficiency
2x
Faster go-to-market
35%
Shorter project timelines
Book the free 30-minute strategy session and we will map these outcomes to your priorities.
Book nowHow we work
Our five-phase process
AI strategy consulting focuses on the first two phases and sets up the rest, so you see value early before scaling.
1
Discovery and Audit
We map your data, systems and goals to understand where you stand today.
2
Strategy and Roadmap
We prioritise use cases and hand you a costed, phased plan.
3
Rapid Proof of Concept
We validate the highest-value use case fast, with clear success metrics.
4
Build and Integrate
We engineer and connect the solution into your production stack.
5
Deploy and Optimize
We ship, monitor and tune, so value compounds after launch.
What you walk away with
Your strategy deliverables
An AI vision and strategy document
A prioritised use case portfolio with ROI estimates
A phased, costed roadmap with success metrics
An operating model and team design recommendation
A governance and risk framework
An executive readout built to support board approval
Real success storiesFinTech · Digital Insurer PropTech · Real-estate marketplace E-Commerce · Retail leader
Outcomes we have driven
Challenge
No agreed AI direction despite pressure to modernise underwriting.
Solution
We set an AI north star and prioritised a real-time fraud-scoring roadmap.
Impact
93% of fraud caught pre-payout, an estimated $4.2M saved annually.
Challenge
Competing AI ideas across teams with no way to prioritise.
Solution
A costed roadmap sequenced computer-vision valuation ahead of other bets.
Impact
40% faster property valuations with higher consistency.
Challenge
AI ambition but no fundable business case for the board.
Solution
We modelled ROI for a personalization initiative and secured budget.
Impact
+28% lift in conversion rate.
Sector-anonymised outcomes shown until named clients are approved.
Industries we serve
Get a tailored AI strategy for your industry
Why Noseberry
Why choose Noseberry for AI strategy
Specialist
AI, Cloud and Data is our core, no generalist dilution.
Production-first
Strategy built by the team that ships AI to production, so the plan is realistic.
Vendor-neutral
Recommendations based on fit, cost and risk, not partnerships.
Proven at scale
2M+ lives touched, 15+ Fortune 500 clients, 250+ solutions across 20+ countries.
Engagement options
Our scalable engagement options
01
End-to-End Project Ownership
We take you from strategy through delivery and optimisation, with full accountability.
02
AI Expertise on Demand
Fractional access to senior AI strategists, ML engineers and data scientists.
03
Milestone-Based Collaboration
Defined deliverables like a strategy sprint or roadmap, with fixed timelines and predictable outcomes.
04
AI Innovation Lab as a Service
Validate strategic bets fast in a sandbox before enterprise-wide scaling.
05
AI Maintenance & Optimization Retainer
Keep the strategy and its systems future-ready after launch.
Technology and platforms we use
Cloud partners
- AWS
- Microsoft Azure
- Google Cloud
Data & AI platforms
- Databricks
- Snowflake
- censhare
- Aprimo
- Sitecore
Frameworks & agents
- LangGraph
- AWS Bedrock Agents
- PyTorch
- TensorFlow
- Hugging Face
Business systems
- Salesforce
- HubSpot
- Zoho
- Okta
- Twilio
- Atlassian
- Firebase
AI strategy consulting, answered.
It is an executive advisory service that aligns AI with your business strategy, defines where AI creates the most value, and produces a prioritised, costed roadmap you can fund and act on.
Strategy sets direction at the leadership level. AI consulting covers the broader advisory and assessment work. AI development builds the systems. Noseberry offers all three, but you are never obliged to build with us.
Usually a few weeks, depending on the size of the organisation and the number of use cases and data sources in scope.
An AI vision and strategy document, a prioritised use case portfolio with ROI estimates, a phased costed roadmap, an operating model recommendation, a governance framework, and an executive readout.
Each initiative in the roadmap carries a business case with expected returns, so value can be tracked against the metrics we set together.
The strategy includes a data readiness view and the steps to close any gaps, because data readiness is the most common reason AI initiatives stall.
Set your AI direction with confidence
Book your free 30-minute AI strategy session and leave with a clear, board-ready roadmap.
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