Free  ·  30 Minutes  ·  No Commitment

AI Readiness Consultation

Find out where your organisation actually stands — before you spend budget on tools you may not be ready for.

Complete this short form before your call. It takes about 5 minutes and helps us map your organisation to the AI Capability Maturity Model, identify your highest-value opportunities, and make every minute of the 30-minute session count.

01
Complete this form — 5 minutes
02
We review and prepare your maturity snapshot
03
30-minute focused session with Tariq Alam

    Before You Fill This In

    For a more focused 30-minute session, consider completing the AI Readiness Check and Governance Assessment first — both are free and take under five minutes. Your results will give us a head start before the call.

    Business Snapshot

    Basic context so we understand your organisation, scale, and the problem you are trying to solve.











    Digital, Data & Infrastructure Footprint

    Helps us assess your data readiness and automation readiness — key determinants of which AI initiatives are feasible for your organisation today.

    Your answers here help us map your organisation against the Data Quality, Tools & Technology, and Automation Readiness dimensions of the AI Capability Maturity Model — all six dimensions assessed before your session.

    MarketingSales & CRMCustomer ServiceFinance & HRReporting & BIOperations and others



    Mostly older on-premise software — limited or no external connectivityMostly cloud-based but siloed — tools do not communicate with each otherCloud-based systems with available APIs — but no integrations currently builtCloud-based systems with active integrations already running between core tools


    Our tools do not connect via API — data is moved manually between systemsSome tools have APIs but we have not used them for automationCore tools have APIs and our data is mostly structured with identifiable trigger eventsAutomation tools in active use (Zapier, Make, Power Automate, n8n) — at least one production workflow runningFull automation infrastructure with API governance, credential management, and an automation registry

    Central Data Warehouse (BigQuery, SQL Server, Fabric)Direct from siloed software (Salesforce, ERP, ticketing)Manual spreadsheets and exported CSVsWe do not deeply analyse our data


    Data is scattered, incomplete, and inconsistently formatted across different systemsData exists in multiple places but quality varies significantly — some clean, some notCore data is reasonably clean but not well-documented or centralised for analysisData is clean, well-structured, and accessible from a central source

    Well-organised central knowledge base (Notion, SharePoint)Searching through scattered shared drives and PDFsAsking colleagues on Slack or TeamsMostly in peoples heads — tribal knowledge

    AI Readiness, Opportunities & Governance

    Helps us understand where you are in the AI adoption journey and which opportunities are most relevant right now.

    Your answers map to the Strategy and Governance dimensions of the AI Capability Maturity Model — identifying which AI initiatives are appropriate for your current readiness level.


    No — we have not used any AI tools yetYes — for content creation (marketing, emails, writing)Yes — for coding or technical troubleshootingYes — for data analysis or reportingYes — for internal knowledge search or document Q&AYes — for workflow automation or chatbots


    Only one or two technical individuals use AI — most of the team has not engaged with itA minority of staff use AI tools informally and individually — no shared approachSeveral teams or departments are experimenting with AI, with varying levels of skillAI tools are used regularly and deliberately across most of the organisation


    No formal approach — individual employees experimenting independentlyLeadership is discussing it but no formal plan, budget, or named ownerWe have a written AI strategy and a named AI sponsor, but no formal policy yetWe have a dedicated governance owner, approved initiatives, and a written AI use policy in force


    No — people use whatever AI tools they want, no guidelines existWe have discussed it informally but nothing is documented or officialWe have a written AI use policy but no formal approved tools register or review processYes — written policy, approved tools register, and a defined review and escalation process

    A named person responsible for AI decisions and oversightA list of approved AI tools with defined permitted usesA written AI use policy shared with employeesA process for reviewing AI outputs before they reach clients or affect decisionsNone of the above

    They lack our private business context and dataThey hallucinate or make things upData privacy and security concernsResults are not reliable enough for business useWe do not know how to integrate AI into workflowsNo major concerns so far

    Finding the right information quicklyRepetitive manual workSlow answers for customers or employeesInconsistent processes or responsesDelayed reporting or insightsOthers


    No — most of our work is unique or highly variable each timeYes — there are a few such tasks but they are low volume or low valueYes — there are several repetitive high-frequency tasks that consume significant team timeYes — and we have already tried to streamline them but hit a technical or process wall

    Save employee timeImprove response speedIncrease revenueReduce operational costImprove decision-makingReduce risk or errors

    AI system for data insights and recommendationsTrusted AI assistant from company knowledge (RAG)AI assistant that create content and drafts responsesAI workflow automation — automating repetitive stepsAI workflow automation — reducing risks or errorsAgentic AI — multi-step autonomous task executionHelp identifying the best starting pointNot sure yet


    No — this would be our first attemptWe tried one or two tools informally but they did not get adoptedWe started a more formal project but it stalled — budget, technical, or adoption issuesYes, and the experience made leadership more cautious about committing further


    Just beginning to learn what AI could do for usIdentified challenges but need guidance on where to startExploring specific use cases and evaluating approachesWe have identified a use case and need help validating and prioritising it before committing budgetReady to start a pilot or proof of concept


    LATEST Posts

    The-Workplace-AI-Tool-Landscape-for-Leaders

    The Workplace AI Tool Landscape for Leaders

    Leaders today are surrounded by AI requests. One department wants a writing assistant. Another wants AI inside email and meetings …
    Start With the Task, Not the Tool

    Start With the Task, Not the Tool: A Practical Way to Learn AI

    Many people begin their AI learning journey by asking the same question: “Which AI tool should I use?” It is …
    AI Readiness- What Organizations Should Fix Before Scaling AI

    AI Readiness: What Organizations Should Fix Before Scaling AI

    Many organizations want to scale AI quickly. They see competitors experimenting with generative AI. Employees are using ChatGPT or Copilot …
    What Agentic AI Means After Basic AI Tools

    What Agentic AI Means After Basic AI Tools

    Many people first experience AI through chat. They ask a question, receive an answer, refine the prompt, and use the …
    Why RAG Matters for Business AI

    Why RAG Matters for Business AI: Moving Beyond Generic Chatbots

    Many organizations begin their AI journey with generic chatbots. Employees ask questions, draft content, summarize ideas, and explore possibilities. This …