One shape — every department.
The same operating model turns to face HR, Operations, Finance, Marketing, or Legal. Nothing about the underlying structure changes — only which facet is forward.
The framework stays consistent. The examples, risks, workflows, and adoption path change by department.
Enablement, internal knowledge, onboarding, and policy workflows.
Explore →Handoffs, process documentation, reporting, and routine coordination.
Explore →Analysis support, close preparation, reporting, and scenario narratives.
Explore →Research, campaign planning, content operations, and review systems.
Explore →Careful document workflows, policy support, and governance patterns.
Explore →Operating across several departments at once? Talk to us about an enterprise engagement →
Every engagement is one of three types. What changes underneath is the field — the risks, examples, and workflows are shaped around HR, Operations, Finance, Marketing, or Legal.
Strategic assessment, executive briefings, and roadmaps — deciding where AI belongs before you build anything.
6 solutions across 5 fields 02Literacy programmes, role-based modules, and policy training — building capability that stays after we leave.
10 solutions across 5 fields 03Platform evaluation, workflow automation, and production agents — the systems that actually run.
9 solutions across 5 fieldsShowing 25 of 25All 25 solutions, across every field.
Every field starts with the same question — where does AI genuinely help, and where would it add complexity? These six engagements answer it per field.
HR & PeopleAssess existing tool usage, skill distribution, and high-impact workflows before training anyone.
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OperationsMap operational workflows and prioritise where AI support reduces load most reliably.
See the engagement →Sequence from high-volume, predictable workflows toward more complex integrations.
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FinanceMap the reporting cycle, data environment, and capability to produce an honest assessment.
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MarketingIdentify where structured AI assistance reduces effort — and where human craft should stay primary.
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LegalEstablish what AI can and cannot do in a legal context, tailored to your practice areas.
See the engagement →Literacy, modules, and policy training — built around each field's actual roles, tools, and risk tolerance.
HR & PeopleContent built around your actual roles, tools, and workflows — recognised as relevant from the first session.
See the engagement →Role-based modules for people with no prior AI background, delivered or self-guided.
See the engagement →Plain-language AI use policy plus the manager training required to enforce it consistently.
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OperationsTrain teams to identify, evaluate, and maintain their own workflow improvements.
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FinanceTeach analysts and controllers where models fail and how to review output effectively.
See the engagement →A documented AI position addressing the specific obligations of the finance function.
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MarketingBuild the judgment to know when a draft is a start and when it has missed the brief.
See the engagement →A marketing AI policy covering data, copyright, brand guidelines, and review before publication.
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LegalAddress data handling, review obligations, confidentiality, and appropriate boundaries.
See the engagement →Cover hallucination risk and jurisdiction limits — AI as a research and drafting aid, not judgment.
See the engagement →Platform choices, automations, and production agents — scoped, documented, and bounded by governance in every field.
HR & PeopleAnswers policy and process questions on demand with source attribution — reducing repetitive queries.
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OperationsStatus reports, handoffs, intake triage, and follow-ups — automated with fallback conditions.
See the engagement →Handles first-pass triage and routes to the right owner without removing human authority.
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FinanceReliable drafts for narratives, variance commentary, and board packs — analyst stays in the loop.
See the engagement →Evaluate options against data residency, auditability, and processing requirements.
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MarketingBriefing, scheduling, distribution, and reporting — automated to return time for real creativity.
See the engagement →Audience research and brief prep with attribution and review built in from the start.
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LegalEvaluate platforms against data residency, confidentiality, and processing requirements.
See the engagement →First-pass analysis against playbooks — annotated outputs for qualified review, with explicit checkpoints.
See the engagement →Every field gets the same three-category structure — only the examples and risk tolerance change.
Approval gates and escalation paths are set by each function's own risk tolerance.
Every field's rollout is documented the same way, so leadership sees one picture, not five.

A single discovery call is enough to identify which approach fits your team's current stage.