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AI Strategy · Advisory
A Clear AI Strategy Before You Spend a Penny on Tools.
AI consulting that starts with your business model, not a vendor pitch. We audit your current operations, identify where AI creates real leverage, design a practical roadmap and help you implement it without the guesswork.
90 days
To a complete AI roadmap
3-5x
ROI on targeted AI implementations
Definition
What is AI Strategy Consulting?
AI strategy consulting is a structured advisory engagement in which a specialist team audits a company's operations, data and technology stack to identify where artificial intelligence creates measurable business value. The output is a prioritised implementation roadmap: specific use cases, ranked by ROI and feasibility, with tool recommendations, resource requirements and a phased deployment plan. Unlike generic technology consulting, AI strategy consulting is grounded in the client's actual workflows and produces a plan the business can act on immediately.
Koldconvert AI strategy consulting gives B2B companies a structured path to adopting AI without the wasted spend and failed pilots that most businesses experience. We start with a business audit, identify where AI creates genuine leverage, define the right tools and partners, build an implementation roadmap and support the business through change management.
90 days
Full AI roadmap delivery
3-5x
ROI on targeted AI use
30+
AI tools evaluated
Diagnosis
Signs You Need AI Strategy Consulting
- You have purchased AI tools that your team does not use consistently, or that delivered less value than expected within the first six months.
- You know AI should apply to your business but cannot agree internally on which problem to solve first or which vendor to use.
- Your operations contain significant manual, repetitive work that is costing your team time but has never been formally assessed for automation.
- Competitors are announcing AI-driven products or processes and you are unsure whether your current approach is fast enough to maintain market position.
- Your board or investors are asking for an AI strategy and you do not yet have a documented, costed and prioritised plan to present.
Ideal Fit
Who This Is For
B2B SaaS Companies
Scaling SaaS businesses that need to embed AI into their product, sales process and operations simultaneously. We prioritise which of those to tackle first based on ROI and technical feasibility.
Professional Services Firms
Consulting, legal, financial and advisory firms where AI can automate research, document processing and client reporting without replacing the judgment-intensive work that drives fees.
Mid-Market Operations-Heavy Businesses
Companies with 50 to 500 employees where manual processes in sales, finance, HR or customer service represent a meaningful cost and quality risk that AI can directly address.
Leadership Teams Preparing for AI Investment
CEOs, CTOs and COOs who need a structured, board-ready AI plan before committing budget. We provide the analysis and roadmap that converts AI interest into a defensible business decision.
Deliverables
What You Get
- AI Readiness Audit Report A scored assessment of your current data quality, technology stack, team capability and process maturity against an AI implementation baseline.
- Prioritised Opportunity Map A ranked list of AI use cases specific to your business, scored by estimated ROI, implementation effort and risk, with one-page summaries for each top-five opportunity.
- Tool and Vendor Shortlist An independent evaluation of relevant AI platforms and tools with recommendations specific to your use cases, budget and technical capability.
- Phased Implementation Roadmap A documented 90-day, 6-month and 12-month plan with milestones, ownership, budget estimates and success metrics for each AI initiative.
- Budget and Resource Model A detailed cost model covering tool licences, implementation cost, internal resource requirements and projected savings per use case over 12 months.
- Change Management Plan A structured approach to team communication, training requirements and adoption milestones so AI implementations stick beyond the initial deployment.
- 90-Day Quick Win Playbook Three to five AI initiatives that can be deployed within 90 days, with step-by-step instructions and tool configuration guides for immediate momentum.
What We Cover
What AI Strategy Consulting Includes
AI Readiness Audit
A structured review of your current operations, data quality, team capability and technology stack to establish your AI readiness baseline.
AI Opportunity Mapping
We identify where AI creates the most leverage in your specific business: operations, marketing, sales, customer support or product.
Tool & Vendor Selection
Independent evaluation of AI tools, platforms and vendors relevant to your use cases. No vendor bias, no referral incentives.
Implementation Roadmap
A phased plan with clear milestones, budget estimates, resource requirements and success metrics for each AI initiative.
Our Approach
The Koldconvert AI Readiness Assessment Method
Most AI consultancies start with the technology and work backwards to find a problem it solves. We start with the business: your revenue model, your cost structure, your operational bottlenecks and your data assets. From that foundation, we score AI opportunities against two axes: the business value created and the technical effort required to deliver it. This produces a quadrant that immediately distinguishes the high-value, low-effort wins from the complex, low-return initiatives that drain budgets. We deliver the roadmap, then stay through the first implementations to ensure the prioritisation holds up against real-world constraints.
Process
How AI Strategy Consulting Works
01
Discovery
We audit your current operations, interview key stakeholders and review your data, processes and technology stack.
02
Opportunity Map
We identify AI use cases ranked by ease of implementation and potential ROI, then prioritise with your leadership team.
03
Roadmap Build
We deliver a documented AI roadmap covering tools, costs, timelines, risks and change management requirements.
04
Implementation Support
We stay involved through the first implementations, helping your team adopt AI tools and track outcomes.
Tech Stack
Tools & Technology
Claude API
OpenAI API
Google Gemini
Notion
Miro
Airtable
Figma
Azure AI
AWS Bedrock
Hugging Face
We use Miro and Notion to map and document the strategy, evaluate models across Claude, OpenAI and Gemini for fit against each use case, and benchmark cloud AI infrastructure on Azure and AWS Bedrock to produce accurate cost modelling before any commitment is made.
Engagement
How We Work Together
AI Strategy Sprint
A 30-day accelerated engagement for businesses that need a prioritised AI opportunity map and tool recommendations without a full discovery process. Deliverable: opportunity map, tool shortlist and 90-day quick win plan. Best for companies with clear use cases that need validation and sequencing.
Full Strategy Engagement
An 8 to 12-week engagement covering discovery, opportunity mapping, roadmap build and implementation support. Deliverable: complete AI strategy documentation, vendor evaluations, budget model and change management plan. Best for businesses making a significant AI investment decision.
Advisory Retainer
Ongoing monthly access to the Koldconvert AI strategy team as AI technology evolves and new use cases emerge. Includes quarterly roadmap reviews, tool evaluations and implementation checkpoint calls. Best for businesses actively deploying AI who want a standing expert resource.
Results
What Clients Achieve
AI Strategy Results
Outcomes from a structured AI strategy engagement
90 daysTo a full AI roadmap
3-5xTypical ROI on targeted AI
40%Avg operational cost reduction
30+AI tools evaluated annually
Industries
AI Strategy Consulting for Your Industry
SaaS & B2B Software
AI strategy for SaaS companies focuses on three simultaneous priorities: embedding AI features into the product, automating the sales and marketing funnel, and reducing operational overhead in customer success and support.
FinTech & Payments
FinTech AI strategy centres on fraud detection, credit risk modelling, automated compliance reporting and AI-driven customer onboarding. We map which of these creates the highest ROI given your current data infrastructure.
Healthcare & Life Sciences
Healthcare AI strategy addresses patient triage automation, clinical documentation reduction and population health analytics while accounting for GDPR, NHS data standards and clinical governance requirements.
Legal Tech
Legal AI strategy maps document review automation, contract analysis, legal research acceleration and client-facing chatbots against the regulatory and confidentiality constraints specific to law firms and legal technology providers.
E-commerce & Retail
E-commerce AI strategy prioritises personalised product recommendations, AI-driven customer service, dynamic pricing models and demand forecasting, with integration into existing Shopify, Magento or custom platforms.
Manufacturing & Logistics
Manufacturing AI strategy targets predictive maintenance, quality control automation, supply chain optimisation and AI-assisted scheduling, where even modest accuracy improvements translate to material cost reductions.
Professional Services
Consulting, accounting and advisory firms benefit from AI strategy around research automation, proposal generation, client reporting and internal knowledge management, all without replacing the senior judgment that justifies fees.
Insurance
Insurance AI strategy maps claims processing automation, underwriting decision support, fraud detection and AI-powered customer service against your existing policy administration systems and regulatory obligations.
Comparison
Koldconvert vs Large Management Consultancies
| Factor | Koldconvert | Large Management Consultancy |
|---|---|---|
| Deliverable format | Actionable roadmap with tool configs and build specs | Framework slide deck, general principles |
| Implementation capability | We build what we recommend, in-house | Strategy only, implementation requires a separate vendor |
| Vendor independence | No referral partnerships, all recommendations independent | Often has preferred vendor relationships influencing recommendations |
| Engagement speed | 30-day sprint or 90-day full engagement | 3-6 month projects standard |
| Team composition | Senior practitioners who have built AI systems | Analysts and project managers with limited build experience |
| ROI modelling | Modelled before engagement starts, based on your volume | Post-delivery, general industry benchmarks |
| Cost | £8,000 to £20,000 depending on scope | £50,000 to £500,000+ |
Koldconvert Perspective
"Most companies fail at AI not because they chose the wrong model but because they started with the tool instead of the problem. We have seen businesses spend six figures on AI platforms before they could answer the question: what specific outcome, measured how, should this produce in 90 days? The businesses that get genuine ROI from AI do one thing differently: they define the problem, the data and the success metric before they evaluate a single vendor. The strategy phase is not overhead. It is the work that makes implementation worthwhile."
Koldconvert Strategy Team
Buyer's Guide
Questions to Ask Any AI Strategy Partner
- Can you show us AI implementations you have built, not just strategies you have delivered? A strategy partner who cannot point to working implementations has limited ability to judge what is actually feasible. Strong answer: specific tools built, deployed and measured. Weak answer: frameworks, methodologies and case study slide decks.
- How do you handle tool and vendor recommendations if you have referral partnerships? Many consultants receive commercial incentives from the tools they recommend. This creates a direct conflict with giving you the best advice. Strong answer: independent evaluation, no referral arrangements. Weak answer: vague language about "partnerships" and "preferred vendors".
- What does the roadmap document look like and who in our team can action it without your involvement? A good strategy deliverable should be self-contained enough for your internal team to act on it. Strong answer: structured document with tool guides, cost estimates and step-by-step implementation paths. Weak answer: a presentation that requires the consultant to interpret and execute.
- How do you model ROI before the engagement starts, not after? ROI modelling done after delivery is not accountability, it is rationalisation. Strong answer: a clear process to model expected outcomes before you commit, based on your volume, team cost and current baseline. Weak answer: benchmarks from other industries with no link to your specific situation.
- What happens if our top-priority use case turns out to be technically infeasible after discovery? A partner who has not encountered this does not have enough real-world experience. Strong answer: specific examples of redirecting a strategy after discovery revealed a constraint, and how the alternative was identified. Weak answer: reassurance that this will not happen.
Key Terms
Glossary
- AI Readiness
- AI readiness is an organisation's current capability to adopt and operate AI systems effectively. It is assessed across four dimensions: data quality and availability, technology infrastructure, team skills and process documentation.
- AI Use Case
- An AI use case is a specific business problem or process where an AI system can be applied to produce a measurable outcome. Examples include invoice classification, lead scoring, customer churn prediction and document summarisation.
- Implementation Roadmap
- An implementation roadmap is a phased plan that sequences AI use cases by priority, documents the tools and resources required for each phase, and defines the success metrics that will confirm value has been delivered.
- Change Management
- Change management in AI adoption is the structured process of communicating new AI workflows to teams, training staff on new tools and monitoring adoption rates to ensure AI implementations are used consistently rather than abandoned after launch.
- Foundation Model
- A foundation model is a large AI model trained on broad data, such as GPT-4 or Claude, that serves as the base for building specialised AI applications. Most enterprise AI systems are built on foundation models rather than trained from scratch.
- AI Pilot
- An AI pilot is a time-limited, limited-scope deployment of an AI system to validate that it works in a production environment before full rollout. A well-structured pilot defines success criteria in advance and sets a clear decision gate for whether to scale or stop.
Questions
AI strategy consulting, answered
AI strategy consulting at Koldconvert starts at £8,000 for an accelerated 30-day engagement and ranges to £20,000 for a full 90-day strategy including discovery, opportunity mapping, roadmap delivery and implementation support. Cost scales with the scope of your operations and number of use cases mapped.
An AI strategy includes an audit of your current operations and data, a mapped set of AI use cases ranked by value and feasibility, a phased implementation roadmap, tool and vendor recommendations, and a change management plan for your team.
Outsourcing the strategy phase makes sense for most businesses because the skills required to evaluate tools, map use cases and plan implementation are different from those needed to run AI day-to-day. We build the roadmap, then transfer the knowledge and tooling to your team for ongoing management.
No. Many of the most impactful AI tools for B2B businesses require no engineering team. We identify tools that fit your current capability and recommend when and whether to invest in technical resource.
We work with SaaS companies, professional services firms, FinTech, legal tech, healthcare technology, e-commerce operators and manufacturing businesses. The AI strategy process is consistent; the use cases and tooling differ by industry.
We define success metrics before the engagement starts: time saved per process, lead conversion rate improvement, cost per acquisition reduction, error rate reduction or revenue attributed to AI-driven workflows. We track these through a 90-day post-implementation review.
Buying a tool gives you access. A strategy gives you a reason to use it and a plan to get value from it. Most AI tool implementations fail not because the technology is wrong but because the use case, the data and the change management were not thought through first.
A full AI strategy engagement typically runs 8-12 weeks. This includes discovery, opportunity mapping, roadmap delivery and the first implementation checkpoint. We can deliver an accelerated 30-day version for businesses that need to move faster.
An AI strategy defines what to build and why, with a prioritised plan for doing so. Implementation is the act of building it. We do both: the strategy engagement determines the roadmap and we can move directly into implementation as a follow-on phase within Koldconvert.
Yes. The strategy engagement often leads into implementation work around AI agents, workflow automation or chatbot development. We handle the full stack within Koldconvert so the strategy and build team share the same context.
Clients can engage Koldconvert to implement the roadmap, hand it to their internal team, or use it to brief other vendors. We structure the roadmap so it is actionable regardless of who executes it, with tool guides and step-by-step implementation instructions included.
Large consultancies deliver frameworks. We deliver working systems. Our team implements the AI tools we recommend, which means our advice is grounded in what actually gets deployed and used, not what looks compelling in a presentation.
Ready to build your AI roadmap?
Book a call to start your AI readiness audit and get a clear path to implementation.
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