# Artificial Intelligence Consulting Services | US, UK, EU & AU | Koso > Artificial intelligence consulting services for enterprises in the US, UK, EU, Canada and Australia. AI readiness assessments, GenAI and agentic roadmaps, AI operating models, EU AI Act governance - delivered by senior operators who also build what they recommend. [](/) [Services](/#services)[AI OS](/ai-os)[Training](/training)[Education](/education) [Book a call ](/book) Artificial Intelligence Consulting Services # Artificial intelligence consulting services. Koso delivers artificial intelligence consulting services to enterprise and growth-stage teams across the US, UK, Europe, Canada and Australia. Readiness assessments, GenAI and agentic roadmaps, AI operating models and governance - from senior operators who then build what they recommended. [Book a consulting call ](/book)[See the services](#services) 120+ AI products shipped 14 days To a costed roadmap 4 continents Clients delivered into 40 to 70% Typical AI run-cost saved The service catalogue ## Eight services, one accountable team. Most AI consulting engagements stall between the recommendation and the release. Ours are scoped so the assessment, the governance and the software are owned by the same people - which is the only reason any of it lands. Assess ### AI readiness assessment A scored read on your data, platforms, talent, governance and appetite. You get the honest answer on what your organisation can actually absorb this year - and what would break if you tried. Strategy ### AI strategy & operating model Where AI moves your P&L, plus the operating model behind it: roles, decision rights, funding routes, central-vs-federated delivery and the lifecycle standards every team follows. GenAI ### Generative & agentic AI advisory Use-case discovery across your functions, ranked on impact and feasibility, with a build-vs-buy call, model shortlist and an implementation roadmap that moves pilots into production. Data ### Data foundation review The unglamorous prerequisite. Source systems, lineage, quality, permissions and retrieval architecture assessed against the use cases you actually want - not a generic maturity grid. Build ### Implementation & delivery The same team that wrote the recommendation ships it. Agents, copilots, retrieval systems and integrations built into your stack, with your engineers alongside ours if you want the transfer. Governance ### Responsible AI & EU AI Act readiness Risk classification, model inventory, human-oversight design, documentation and eval standards mapped to the EU AI Act, ISO/IEC 42001 and the NIST AI RMF - written so your teams can enforce them. LLMOps ### Evals, observability & cost control Evaluation pipelines, tracing, prompt versioning, model routing and spend guardrails, so quality is measured before release and unit economics stay defensible at scale. Adoption ### Change management & enablement Role-based enablement, internal champions, policy comms and hands-on training so adoption is a number you track, not a hope you express in a town hall. Where we deliver ## Built for your hours. Offshore AI consulting usually means a status call at 11pm and a regulator question nobody can answer. We run engagements on your working hours, under your paper, against the compliance bar your market actually enforces. ### United States & Canada Delivery overlap on Eastern and Pacific hours, US-entity contracting, and consultants used to SOC 2 questionnaires, procurement review and security architecture sign-off. ### United Kingdom & Ireland UK GDPR and ICO expectations built into every data flow, with FCA-regulated and public-sector-adjacent clients used to evidencing model oversight. ### European Union & Nordics EU AI Act risk classification, GDPR lawful-basis mapping, EU data residency and DPAs signed before the first working session. German, Dutch and Nordic delivery cadence. ### Australia & New Zealand Full-day AEST overlap out of our Asia-Pacific hours, Privacy Act alignment, and a delivery rhythm built for lean local teams without a Big 4 budget. ### Middle East & Singapore GCC and Singapore engagements with local data-handling constraints, sovereign-cloud deployment and bilingual enablement where the business needs it. ### How we contract Fixed-fee scopes quoted before we start, invoiced in USD, GBP, EUR or AUD. Mutual NDA on request, your DPA, your paper if you have it, and full IP assignment on everything we produce. ## How an engagement runs. Four phases. The first two answer what to do. The third proves it in production. The fourth makes sure you do not need us for the next ten use cases. 01 ### Assess Weeks 1-2\. Executive interviews, workflow shadowing, data walkthroughs and a scored readiness baseline across data, platform, people and governance. 02 ### Prioritise Weeks 2-3\. Every use case ranked on value, feasibility, risk and time-to-value, with a build-vs-buy call, cost model and target operating model on each. 03 ### Prove Weeks 4-8\. One or two use cases taken to production behind real users, with evals and guardrails, so the business case is measured rather than argued. 04 ### Scale Quarter two onward. Governance, reusable patterns, platform decisions and enablement so the next ten use cases move without another consulting engagement. ## Four ways to start. Every one is a fixed fee against a written scope, quoted before we begin. No day rates that drift, no change orders for the work that was always going to be needed. 2 weeks ### Readiness assessment You need an honest baseline before committing budget. * Scored readiness across data, platform, people, governance * Ranked long-list of use cases * Gap list with the fixes that unblock the rest 3 to 4 weeks ### Strategy & roadmap sprint You need a costed, sequenced plan your board can approve. * Build-vs-buy call and cost model per use case * Target AI operating model and governance standards * 12-month roadmap with budgets, owners and dependencies 6 to 10 weeks ### Prove-it delivery You want the business case measured in production, not modelled. * One or two use cases live behind real users * Evals, observability and cost guardrails from day one * Handover to your team, or we keep operating it Ongoing, monthly ### Embedded advisory You need senior AI leadership without a full-time hire. * Fractional AI leadership in your leadership rhythm * Vendor selection, architecture reviews and hiring support * Quarterly re-planning as the model landscape moves Why Koso ## The rigour of a Big 4 practice, none of the pyramid. | What you should expect | Big 4 AI practice | Offshore dev shop | Koso | | ----------------------------------------------- | ----------------- | ----------------- | ---- | | Fixed fee quoted before the work starts | | | | | Senior operators on the work, not a pyramid | | | | | Same team consults and then builds | | | | | Production use case live inside a quarter | | | | | EU AI Act, GDPR and oversight design included | | | | | Evals and cost controls, not just a pilot | | | | | Full IP assignment and code your team owns | | | | | Real-hours overlap with US, UK, EU and AU teams | | | | Industries ## Sector first, model second. The model is rarely the hard part. The hard part is the approval chain, the legacy system of record and the person whose job changes. That is what our sector work is organised around. ### Financial services Underwriting copilots, KYC and AML triage, adviser assistants and model documentation that survives a regulator's questions. ### Healthcare & life sciences Clinical documentation, prior-authorisation workflows and literature synthesis, designed around PHI handling and human sign-off. ### Retail & ecommerce Merchandising agents, demand signals, service deflection and content operations that hold brand voice across markets. ### Manufacturing & supply chain Planning copilots, supplier intelligence, maintenance triage and document extraction across ERP and MES systems. ### SaaS & technology In-product copilots, retrieval over your own docs and telemetry, and the eval discipline to ship model changes without regressions. ### Professional services Research, drafting and review assistants that cut delivery hours while keeping partner-level judgement in the loop. ### Private equity & portfolio ops Diligence acceleration, cross-portfolio AI playbooks and value-creation plans that are executed, not just presented. ### Education & public sector Learning assistants, casework triage and citizen-facing services with the transparency and oversight those settings demand. Trust ## Boring where it should be. ### Your paper, your tenancy Mutual NDA and your DPA before the first working session. Where it matters, we build inside your cloud tenancy under your security policy. ### Regulation-aware by default EU AI Act risk tiers, GDPR and UK GDPR, and alignment to ISO/IEC 42001 or the NIST AI RMF where you already run one. ### Everything we make is yours Full IP assignment, documented architecture and code your engineers can maintain after we leave. No black boxes, no licence traps. Related ## Where consulting goes next. [AI consulting companyWho we are as a consulting firm, and the 14-day strategy sprint.](/ai-consulting-company)[Fractional CAIOA senior AI leader embedded part-time in your leadership team.](/caio)[AI engineeringEvals, observability, routing and guardrails for production LLM systems.](/ai-engineering-company)[AI product developmentCopilots, RAG systems and vertical AI products, shipped in 4 to 6 weeks.](/ai-product-development) Questions ## Before you ask. What are artificial intelligence consulting services?+ AI consulting services help an organisation decide where artificial intelligence creates measurable value, then get there safely. In practice that means a readiness assessment, use-case discovery and prioritisation, a build-vs-buy call on each option, an AI operating model and governance standards, and a sequenced roadmap with budgets and owners. Good AI consulting ends in shipped systems and a capability your teams keep - not a slide deck. What does an AI consulting engagement actually include?+ A scored readiness baseline, a ranked use-case portfolio with an ROI model on each, architecture and data recommendations, vendor and model shortlists, governance and evaluation standards, a 12-month sequenced roadmap, and an enablement plan for the teams who have to live with it. Where you want proof rather than a plan, we take one or two use cases to production behind real users inside the same quarter. How much do AI consulting services cost?+ We quote a fixed fee for a defined scope before any work starts, rather than billing an open-ended day rate. Price tracks the number of business units in scope, the state of your data, the regulatory bar you operate under, and whether you want a plan or a plan plus a production build. Ask for a scope and you get a written fee and timeline within 48 hours. How long does an AI consulting engagement take?+ A readiness assessment takes two weeks. A full strategy and roadmap sprint takes three to four weeks. Taking one or two use cases live in production typically takes six to ten weeks from kickoff. Embedded advisory runs monthly for as long as it is useful. Do you work with companies in the US, UK, Europe and Australia?+ Yes - that is most of our work. We hold real-hours overlap with Eastern, Pacific, UK, Central European and AEST teams, contract in USD, GBP, EUR or AUD, and work under your NDA and DPA. Our consultants are used to procurement review, security questionnaires and architecture sign-off in those markets. What is an AI operating model, and why does it matter?+ An AI operating model defines who decides what: which use cases get funded, who owns models in production, how central platform teams and business units split the work, what standards every project meets before release, and how systems are monitored after launch. Without one, organisations rebuild the same capability in five places and cannot answer basic questions about what is running. What goes into a generative AI implementation roadmap?+ Prioritised use cases with an ROI model, data readiness and retrieval architecture, model and platform selection, integration sequencing, evaluation and guardrail standards, risk classification and human-oversight design, cost forecasts per workload, and the enablement needed for adoption. Each item lands in a quarter, with a named owner and a budget. How do you handle the EU AI Act, GDPR and internal risk review?+ We classify each use case against the EU AI Act risk tiers, map it to GDPR lawful basis and data-residency requirements, and design the human oversight, logging and documentation that obligation implies. Where you already run an ISO/IEC 42001 or NIST AI RMF programme, we align to it instead of introducing a parallel framework. NDAs and DPAs are signed before the first working session. Do you build what you recommend, or hand it off?+ Either, and you choose. Koso is strategy plus engineering under one roof, so a roadmap can roll straight into a build with the same people. If you would rather your own team or an existing partner executes, the roadmap is written to be handed over - architecture, estimates and standards included. Should we use a Big 4 AI practice for this instead?+ If you need a global audit-grade programme across twenty countries, use one. For everything below that, you are paying for a staffing pyramid. We put senior operators who have shipped 120+ AI products on the work, quote a fixed fee rather than an open-ended day rate, and get a use case into production inside a quarter instead of delivering a maturity assessment. The governance rigour is the same; the overhead is not. We already have an internal AI team. Where do you fit?+ Usually on the questions your team is too close to answer: which of the fifty ideas in the backlog to fund, whether to build or buy a given capability, what the evaluation bar should be, and how to structure the platform so the next ten use cases are cheaper than the first. We work alongside internal teams far more often than we replace them. ## Tell us the decision, not the brief. Send us what your leadership team is actually trying to decide about AI. You get a written scope, a fixed fee and a timeline back within 48 hours. [Book a consulting call ](/book)[Send a brief](/contact) A custom AI development agency. 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