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.
Solutions
AI capability shaped around each team.
The framework stays consistent. The examples, risks, workflows, and adoption path change by department.
Fields we work in
Where the work happens.
people-first
HR & People
Enablement, internal knowledge, onboarding, and policy workflows.
Explore →less busywork
Operations
Handoffs, process documentation, reporting, and routine coordination.
Explore →accurate
Finance
Analysis support, close preparation, reporting, and scenario narratives.
Explore →on-brand
Marketing
Research, campaign planning, content operations, and review systems.
Explore →careful
Legal
Careful document workflows, policy support, and governance patterns.
Explore →Operating across several departments at once? Talk to us about an enterprise engagement →
How Allemnii works
Three ways we work with your team.
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.
01
AI Consulting
Strategic assessment, executive briefings, and roadmaps — deciding where AI belongs before you build anything.
6 solutions across 5 fields 02AI Training
Literacy programmes, role-based modules, and policy training — building capability that stays after we leave.
10 solutions across 5 fields 03AI Implementation
Platform evaluation, workflow automation, and production agents — the systems that actually run.
9 solutions across 5 fieldsShowing 25 of 25All 25 solutions, across every field.
01 · AI Consulting
Where AI belongs, before you build.
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.
Map capability first
Assess existing tool usage, skill distribution, and high-impact workflows before training anyone.
See the engagement →
Find the costliest processes
Map operational workflows and prioritise where AI support reduces load most reliably.
See the engagement →A phased adoption plan
Sequence from high-volume, predictable workflows toward more complex integrations.
See the engagement →
Where AI fits
Map the reporting cycle, data environment, and capability to produce an honest assessment.
See the engagement →
Map the leverage
Identify where structured AI assistance reduces effort — and where human craft should stay primary.
See the engagement →
Align leadership
Establish what AI can and cannot do in a legal context, tailored to your practice areas.
See the engagement →02 · AI Training
Capability that stays after we leave.
Literacy, modules, and policy training — built around each field's actual roles, tools, and risk tolerance.
Bespoke training
Content built around your actual roles, tools, and workflows — recognised as relevant from the first session.
See the engagement →Deploy in days
Role-based modules for people with no prior AI background, delivered or self-guided.
See the engagement →A policy teams follow
Plain-language AI use policy plus the manager training required to enforce it consistently.
See the engagement →Self-sufficient teams
Train teams to identify, evaluate, and maintain their own workflow improvements.
See the engagement →Confident, sceptical users
Teach analysts and controllers where models fail and how to review output effectively.
See the engagement →Audit-ready governance
A documented AI position addressing the specific obligations of the finance function.
See the engagement →A thinking tool, not a factory
Build the judgment to know when a draft is a start and when it has missed the brief.
See the engagement →Protect brand & data
A marketing AI policy covering data, copyright, brand guidelines, and review before publication.
See the engagement →A governance framework
Address data handling, review obligations, confidentiality, and appropriate boundaries.
See the engagement →Responsible literacy
Cover hallucination risk and jurisdiction limits — AI as a research and drafting aid, not judgment.
See the engagement →03 · AI Implementation
The systems that actually run.
Platform choices, automations, and production agents — scoped, documented, and bounded by governance in every field.
Internal knowledge agent
Answers policy and process questions on demand with source attribution — reducing repetitive queries.
See the engagement →Automate the recurring
Status reports, handoffs, intake triage, and follow-ups — automated with fallback conditions.
See the engagement →A triage & routing agent
Handles first-pass triage and routes to the right owner without removing human authority.
See the engagement →Automate reporting
Reliable drafts for narratives, variance commentary, and board packs — analyst stays in the loop.
See the engagement →The right platform
Evaluate options against data residency, auditability, and processing requirements.
See the engagement →Automate production
Briefing, scheduling, distribution, and reporting — automated to return time for real creativity.
See the engagement →Research & briefing agent
Audience research and brief prep with attribution and review built in from the start.
See the engagement →The right tools
Evaluate platforms against data residency, confidentiality, and processing requirements.
See the engagement →Contract review agent
First-pass analysis against playbooks — annotated outputs for qualified review, with explicit checkpoints.
See the engagement →
Same three categories, every field
Consulting, training, implementation. Never a fourth thing.
- 01
One operating model
Every field gets the same three-category structure — only the examples and risk tolerance change.
- 02
Field-specific review
Approval gates and escalation paths are set by each function's own risk tolerance.
- 03
One shared record
Every field's rollout is documented the same way, so leadership sees one picture, not five.
Common questions
Questions about your field.
Five: HR & People, Operations, Finance, Marketing, and Legal — twenty-five solutions mapped across them. HR covers enablement, internal knowledge, onboarding and policy workflows; Operations covers handoffs, process documentation, reporting and routine coordination; Finance covers analysis support, close preparation, reporting and scenario narratives; Marketing covers research, campaign planning, content operations and review systems; Legal covers careful document workflows, policy support and governance patterns.
The structure doesn't change — the risk tolerance does. Every field gets the same three-category structure; only the examples and risk tolerance change, and approval gates and escalation paths are set by each function's own risk tolerance. In Legal that means contract review as first-pass analysis against playbooks, producing annotated outputs for qualified review with explicit checkpoints, and literacy training that covers hallucination risk and jurisdiction limits — AI as a research and drafting aid, not judgment. In Finance it means a documented AI position addressing the specific obligations of the finance function.
One model applied differently. Every engagement is one of three types — consulting, training, or implementation — and never a fourth thing. The framework stays consistent; the examples, risks, workflows, and adoption path change by department. Each solution links through to the same underlying engagement.
Yes — integrations connect the stack teams already use, including CRM, documents, drives, and APIs, so AI works inside your real systems. Where a platform decision is still open, platform evaluation is grounded in your actual use cases and technical environment, assessed against criteria like data residency, auditability, and processing requirements.
That's an enterprise engagement — worth a conversation rather than picking a single field. The reporting is designed for it: every field's rollout is documented the same way, so leadership sees one picture, not five.
Ready to build capability across your organisation?
A single discovery call is enough to identify which approach fits your team's current stage.