Our AI consulting services help startups, SMBs and enterprises decide where AI will create real value, check that their data and systems are ready, and plan a safe, affordable path from first use case to company-wide adoption, with engineers who can also build what we recommend.
Most companies are not short of AI ideas. They are short of clarity on which ideas are worth funding, whether their data can support them and how to adopt AI without new risks. Our AI consulting services answer those questions with evidence, then turn the answers into a plan your team can execute.
Engage us for a single question, such as "Is our data ready?", or for a complete AI strategy. Each service ends with clear, written recommendations your leadership and technical teams can act on.
AI vision aligned to business goals
Scored use-case portfolio
Phased AI roadmap
KPIs and success metrics
Our AI strategy consulting connects AI to your business goals. We interview stakeholders, map processes, identify and score use cases, and produce a phased AI roadmap with priorities, budget ranges, required skills and KPIs, so AI investment follows strategy rather than hype.
Data and infrastructure audit
Skills and team gap analysis
AI maturity score
Quick-win recommendations
An AI readiness assessment gives you an honest baseline across data, technology, skills, processes and governance. You learn what is ready now, what needs work first and which quick wins are available with what you already have.
GenAI use-case selection
LLM comparison and selection
Token cost and ROI modelling
GenAI guardrail design
Our generative AI consulting services help you use LLMs safely and profitably: picking the right use cases, comparing models such as GPT, Claude, Gemini and open-weight options, choosing between RAG and fine-tuning, estimating token costs and setting guardrails against hallucinations and data leakage.
Agent opportunity mapping
Agent workflow design
Permissions and human-in-the-loop rules
Agent risk assessment
Agentic AI consulting for companies exploring AI agents that take actions, not just answer questions. We identify processes suitable for agents, define what an agent may and may not do, design approval checkpoints and assess the operational and security risks before anything is built.
Data source and quality review
Target data architecture
Data labelling and preparation plan
Data ownership and access policy
AI is only as good as the data behind it. Our data and AI consulting services review your data sources, quality, ownership and pipelines, then recommend the data architecture, whether warehouse, lakehouse or vector store, and the governance your AI roadmap needs.
Process discovery and mapping
Automation opportunity sizing
AI vs. RPA vs. workflow tools
Time and cost savings estimate
Our AI automation consulting services find repetitive work across operations, finance, HR, sales and support, and recommend the right mix of AI, workflow automation and RPA, with a clear estimate of hours saved and what it would take to implement.
Integration architecture
Build vs. buy analysis
Vendor and tool evaluation
Security boundary design
We plan how AI fits into your existing CRM, ERP, helpdesk and custom applications: integration points, APIs, security boundaries and build-vs-buy options, so AI features land inside current workflows instead of in yet another disconnected tool.
AI acceptable-use policy
AI risk register
Governance roles and approvals
Bias and fairness review
We help you set rules for how AI is used: acceptable-use policies for tools like ChatGPT and Copilot, risk classification, model documentation, bias and fairness checks, human oversight and incident handling, aligned with the regulations that apply to you.
Accuracy and quality evaluation
LLM cost optimisation plan
Security and prompt-injection review
Monitoring recommendations
Already running AI? We audit existing AI systems for accuracy, reliability, security and cost, including LLM token spend, and recommend fixes, from better retrieval and prompts to cheaper models, caching and monitoring.
Affordable AI tool selection
Chatbot and automation quick wins
Team training and prompts
Grow-as-you-go AI roadmap
AI consulting services for small businesses and startups, sized to your budget. We focus on off-the-shelf tools and light integrations that pay back quickly, such as AI chatbots, document automation and AI inside tools you already use, and help your team adopt them safely.
Book a working session with our AI consultants. Bring your ideas and constraints; leave with a shortlist of use cases worth pursuing and the next step for each.
Good AI consulting ends in decisions, not slide decks. Depending on scope, an engagement delivers some or all of the following.
A phased plan showing which use cases to tackle first, dependencies, budget ranges and the skills needed at each stage.
Each opportunity scored on value, feasibility, data readiness and risk, so you can fund the best ones with confidence.
Costs, expected benefits and assumptions laid out clearly enough for finance and leadership to challenge and approve.
Recommended models, platforms, data flows, integrations and security boundaries for the chosen use cases.
Usage policies, risk controls, roles and review steps that let teams use AI productively and safely.
Where useful, a short prototype on your real data that proves or disproves the approach before full investment.
Whatever your starting point, the obstacles to AI value tend to look alike. These are the situations clients most often bring to our AI consultants.
We run a structured discovery to turn a long list of ideas into two or three high-value, feasible use cases with a clear first step.
We diagnose why prototypes stall, whether data, integration, ownership or unclear success metrics, and set out what it takes to ship or stop them.
We help you replace uncontrolled use of public AI tools with approved options, clear policies and training, so productivity gains don't become data leaks.
We pinpoint the data gaps blocking your priority use cases and plan the minimum data work needed, rather than a multi-year data programme.
We review model choice, prompts, retrieval and usage patterns to bring LLM spend in line with the value each feature delivers.
We compare tools and providers against your requirements, including security, data residency, integration and total cost, and recommend a shortlist.
Our AI consultants are practising engineers. The strategies we recommend are ones we know how to build, integrate and run, so the plan you receive is realistic about data, cost, timelines and risk.
Every sector has different data, regulations and customer expectations. Our AI consulting accounts for that context. Explore the industries we build software for:
Start small or go deep. Every option can move straight into implementation with the same team.
A short, focused engagement that delivers a prioritised use-case list and a first roadmap, ideal for leadership teams getting started.
A structured review of data, systems, skills and governance with a maturity score and a list of actions.
A senior AI advisor available for a set number of hours each month to guide your team, review plans and join vendor calls.
Milestone-based delivery that runs from strategy through proof of concept into production development.
Part of AI consulting is choosing well. We assess options across model providers, cloud AI platforms, data platforms, automation tools and workplace copilots against your requirements.
OpenAI (GPT)
Anthropic Claude
Google Gemini
Llama & Mistral (open-weight)
AWS Bedrock & SageMaker
Azure AI Foundry
Google Vertex AI
Gemini for Workspace
Snowflake
Databricks
BigQuery
LangChain / LlamaIndex
n8n / Make / Zapier
Salesforce Einstein
HubSpot AI
Zendesk / Intercom AI
A clear, repeatable process keeps AI consulting focused and time-boxed. You get findings and recommendations at every step, not only at the end.
We interview leaders and process owners to understand goals, pain points, constraints and appetite for risk.
We review processes, systems, data and existing AI use to establish an honest baseline.
We score opportunities on value, feasibility and risk and build the business case for the top candidates.
We design the target architecture, governance model and phased roadmap with budget ranges and KPIs.
Where uncertainty remains, we validate the riskiest assumption with a short prototype on real data.
We hand over to your team or ours, support vendor selection and track results against the agreed KPIs.
Tell us where you are with AI today and what you want to achieve. We will suggest the most useful next step, whether that is a strategy sprint, an assessment or a single conversation.
A conversation about your goals, ideas and constraints.
Scope, approach, deliverables, timeline and cost for the right engagement.
Clear recommendations your team can act on straight away.
AI consulting is expert advice on how a business should use artificial intelligence. AI consulting services typically cover strategy and use-case selection, AI readiness and data assessment, model and vendor selection, architecture, governance and risk, change management and, often, a proof of concept to validate the plan before full investment.
An AI consulting company helps you decide where AI will create value and how to adopt it safely. It assesses your processes and data, prioritises use cases, builds the business case, recommends tools and architecture, sets governance and guides implementation. A consultancy with its own engineers, like CodeBase Coders, can also build what it recommends through AI development services.
Most engagements follow the same arc: stakeholder discovery, a current-state assessment of processes, systems and data, use-case prioritisation with business cases, a target architecture and roadmap, an optional proof of concept, then implementation support. You receive written findings at each step.
The cost of AI consulting depends on scope: a focused strategy sprint or readiness assessment costs far less than a company-wide AI transformation programme. Key factors are the number of business units and processes in scope, the depth of the data assessment, whether a proof of concept is included and how much ongoing advisory time you want. We give a fixed quote once the scope is agreed.
A strategy sprint or readiness assessment usually runs a few weeks. A broader strategy with a proof of concept typically takes one to three months. Ongoing advisory support can continue for as long as it is useful. We time-box every engagement and agree the deliverables up front.
Small businesses rarely need a large strategy programme, but a short consultation often pays for itself by steering you to the right off-the-shelf tools and quick wins, such as chatbots, document automation or AI inside software you already use, and away from costly mistakes. Our AI consulting for small business is sized to match.
An AI readiness assessment measures how prepared your organisation is to adopt AI across five areas: data, technology, skills, processes and governance. It produces a maturity score, highlights the gaps blocking your priority use cases and recommends the actions and quick wins to pursue first.
Generative AI consulting decides what to build and how: use cases, model choice, RAG vs. fine-tuning, cost, risk and governance. AI development is the engineering that builds, tests, integrates and runs the solution. Many clients use both, starting with consulting and moving into development once the approach is proven. See our AI services and solutions for the full range.
Look for a partner that starts from business problems, is independent of any single vendor, can show how it handles data security and regulation, is candid about when AI is not the answer and has engineers who can estimate effort realistically or build the solution themselves. Ask what the deliverables will be and how success will be measured.
CodeBase Coders offers AI consulting services from strategy sprints and readiness assessments to generative AI, agentic AI and automation consulting, governance and cost reviews. Because our consultants work alongside our developers, every roadmap is buildable, and we can implement it for you through our AI integration services. For a full responsible AI programme, see our AI governance consulting services. Contact us to book a discovery call.
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