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TAI Labs

AI-native teams

Start with the team. Build around the work.

AI lands differently in product than it does in sales, operations or leadership. We build each programme around the decisions, tools and standards that team already owns—then adapt it to the realities of your industry.

An applied AI workshop with a practitioner and senior business participants

By team

Useful on Monday morning.

Every track ends in work the team can keep: a workflow, system, playbook, prototype or operating decision—not a folder of slides.

  1. 01

    For Product teams

    Move from research to a decision, a prototype and a testable spec without losing the customer problem on the way.

    AI-assisted discovery, synthesis, prototyping, product briefs and evaluation plans.

  2. 02

    For Technology teams

    Give engineers a shared, production-ready way to use coding agents—not a collection of personal shortcuts.

    Claude Code, MCP, agentic development, evaluations, security and maintainable delivery patterns.

  3. 03

    For Marketing teams

    Build a content and campaign system that keeps the judgement, voice and approvals with your team.

    Research, briefs, content operations, creative testing, localisation and responsible automation.

  4. 04

    For Operations teams

    Turn repeat work into reliable workflows with clear hand-offs, exceptions and human review.

    Process mapping, knowledge workflows, reporting, service operations and no-code automation.

  5. 05

    For Sales & GTM teams

    Make account context useful at the moment a seller needs it, from first research through renewal.

    Account research, meeting preparation, outreach, CRM hygiene, proposals and pipeline signal.

  6. 06

    For Design teams

    Use AI to widen the search space and shorten the path to something people can react to.

    Briefs, visual exploration, prototypes, design systems, user research and hand-off.

  7. 07

    For Leaders & executives

    Choose where AI belongs, what good looks like and how to tell whether capability is actually changing.

    Opportunity mapping, governance, operating models, investment choices and evidence-led readiness.

By industry

Your constraints are part of the curriculum.

Regulation, customer trust, technical complexity and pace all change what responsible adoption looks like. We do not train around them; we train through them.

Banking & financial services

Train teams to improve regulated workflows while keeping policy, review, traceability and customer trust intact.

Gaming

Help product, live-ops, creative and community teams work faster without flattening the craft that players notice.

Government & public sector

Practical adoption built around public accountability, sensitive information, procurement and defensible decisions.

Healthcare

Workflow-led training for operational and product teams working with sensitive data and high-consequence decisions.

Agencies

Turn AI from ad-hoc production help into a repeatable service model that protects quality, margins and client confidence.

Consultancies

Equip consultants to research, analyse and deliver with AI while making the method reusable across engagements.

Educational institutions

Give educators and professional-services teams useful AI practice, with curriculum, assessment and responsible-use guidance.

Hardware & advanced manufacturing

Bring AI into technical marketing, product knowledge and complex B2B workflows without losing engineering accuracy.

ACS Motion Control programme underway

One programme, built properly

Tell us which work needs to change.

We will bring the right practitioners, build around your tools and give you a clear view of what people can do afterwards.

Book a 15-minute scoping call