Our Services

We Are Agentic guides companies through a structured, five-phase journey to become AI-First. The journey is designed for knowledge-intensive, people-led businesses, and each phase builds on the one before it. We are platform-agnostic, and our recommendations follow your existing tech stack.

Process

The 5 Phases of AI Adoption

Phase 1

Leadership Strategy

01

[1.1] Leadership Workshop

Who is this for?

It is built for decision-makers, not technologists. This is the starting point of the journey, with no prior AI knowledge required.

What is it?

A focused half-day session that takes your senior team through the AI landscape, where AI is going over the next five years, what becoming an AI-First company means in your specific context, where the real opportunities and obstacles lie, and a plan of how to get there.

What you leave with

You leave with every leader working from the same data, a shared language for AI, clear priorities, and the confidence to commit to a structured path forward.

[1.2] Action Plan

Who is this for?

Leadership teams who have completed the workshop and are asking "what now?". Best with the core leadership group, often joined by stakeholders from IT, HR, finance or operations.

What is it?

A collaborative set of working sessions that turns your alignment into a project plan you own, covering phasing, prioritisation, data readiness, governance, internal comms, change management and budget.

What you leave with

A clear 60/90/180-day roadmap with named owners, defined milestones and success criteria. A document you can use to secure budget, communicate the plan internally, and hold teams accountable.

Phase 2

Workforce Training

02

[2.1] Build Your Own Personal AI Assistant

Who is this for?

Everyone in the organisation, from absolute beginners to confident users. No coding and no prior experience required. We recommend executives and managers go first, as adoption accelerates when leadership builds alongside their teams.

What is it?

A hands-on, full-day workshop where every participant designs and builds their own personal AI agent tailored to their actual job. The day covers the fundamentals of AI from prompt engineering through to how to use AI to build new agents in minutes.

What you leave with

A minimum of one working agent per person on day one, a shared agent library across the business, and the confidence and skills to keep building. Participants typically save between an hour a day and half a day a week from a single agent, plus everyone receives a certificate.

[2.2] Private CEO 1-2-1 Session

Who is this for?

CEOs and senior leaders who need something more tailored than a group workshop, whether to get up to speed quickly, sharpen high-leverage skills, or think through a challenge in a confidential setting.

What is it?

A short, high-intensity private session, typically 1.5 hours, built entirely around your priorities, from high-leverage prompting for your role to strategic decision support and candid consultancy on where AI fits in your business.

What you leave with

A CEO who is confident, informed and ready to lead the AI agenda, with practical skills to apply immediately and clarity on the decisions that matter most.

Phase 3

Workflow Mapping

03

[3.1] Workflow Mapping (Broad and Shallow)

Who is this for?

Organisations ready to move from individual productivity into operational AI. The people who actually do the work need to be in the room, not just AI champions or project leads, because subject matter experts are essential.

What is it?

A structured, in-person discovery workshop that maps your key workflows at a high level, what triggers them, the stages they run through, where the data sits and who is involved, then applies an agreed ROI framework to decide which to tackle first.

What you leave with

A clear, prioritised shortlist of workflows ranked by value and feasibility, a shared understanding of how they actually function, clarity on data readiness, and agreement on what to build first, so you build with confidence rather than guesswork.

[3.2] Workflow Mapping (Narrow and Deep)

Who is this for?

Organisations that have mapped their workflows and are ready to specify one or more in detail before building. Anyone connected to the workflow may be involved, from subject matter experts to IT, operations and compliance.

What is it?

An in-depth discovery and specification process through a set of recorded interviews with workflow stakeholders that produces a build-ready Requirements Specification Document for a prioritised workflow: the role, inputs, outputs, data sources, integrations, guardrails and success criteria, refined through internal review and up to two further rounds of edits.

What you leave with

A specification tested, debated and agreed before a single line of code is written, and a document you own and can build from anywhere, internally, with a third party, or with us, dramatically reducing the risk of costly rework.

Phase 4

Agents & Automation

04

[4.1] Build & Deployment of Agents

Who is this for?

Organisations with a signed-off specification, ready to build. This is the last step in the journey, not the first, the point at which you have earned the right to build, with the workflow mapped, the data understood and stakeholders agreed.

What is it?

End-to-end build and deployment of single agents or coordinated systems of multiple agents working together to run a complete business process. We build on your chosen platform, integrate with your existing systems, and wrap everything in the right guardrails, monitoring and governance. AI development is a different discipline from traditional software development, and because the specification has already been through our mapping and spec process, the build is targeted, efficient and far less likely to need costly rework. We are platform-agnostic, working across the major providers, with the recommendation following your existing tech stack.

What you leave with

A working, governed, integrated agentic workflow that does exactly what you specified, delivering measurable impact from day one, on a foundation that can be iterated and improved as your business and the technology evolve.

[4.2] Managed Agent Support

Who is this for?

Any organisation running an agentic workflow in production. In practice that is every client who completes a build, because live software needs ongoing support to stay reliable.

What is it?

Ongoing post-launch support for your live workflows: proactive monitoring, incident response, scheduled updates, regression testing after model or platform changes, change control and continuous improvement.

What you leave with

Confidence that your workflows are monitored, maintained and improving, rapid response when something breaks, and a partner who understands the system because they built it, with no need to hire a specialist team internally.

Phase 5

Continuous Adoption

05

[5.1] Forward Deployed Engineers

Who is this for?

Organisations that have mapped their workflows and want to build out the rest at pace, while growing the capability to build independently. A natural step on from the first builds we deliver in Phase 4.

What is it?

We embed a Forward Deployed Engineer into your organisation for a set period, for example three or six months, working alongside your team as one of your own. They build the workflows prioritised during mapping, and as they go they bring your people up to speed, so the capability stays in the business.

What you leave with

A growing set of live workflows built around your priorities, and a team that becomes progressively self-sufficient, able to build on their own with the Forward Deployed Engineer on hand rather than depending on outside help.

Subscription

Ongoing Support & Advisory

What is it?

Two separate subscriptions giving you continued expert access to We Are Agentic. Access is via chat, email, phone and video. You draw on the support level that fits, so your team stays unstuck and your leadership stays ahead, backed by a partner who already knows your business.

How does it work?

It comes in two levels:

Enablement Support - set weekly or monthly "office hours" where your team can book access to a professional prompt engineer who helps them improve their agents, troubleshoot and tackle new use cases.

Fractional AI Department - senior advisory acting as your external AI function, evaluating new tools, pressure-testing ideas, guiding build decisions and filling short-term capability gaps.

Benefits

Online Courses

AI-Ready Woman

A one-day live workshop designed to give women the practical skills and confidence to use AI in their working lives. The course is hosted on Maven and runs as a live workshop with direct access to instruction and peer support throughout. £299 | €349 | $399

AI-First Company

The 8 Pillars of an AI-First Company

An AI-First company is one where AI is embedded in how the organisation thinks, works, and makes decisions…

① AI-First Mindset

Before every task, project, or hire, ask: can AI do this first?

Upcoming Tasks
Project Brief
Done by AI
New Hire Scope
Done by AI
Meeting Notes
Task Assignment
Done by AI
Can AI do this first?

② Executive Alignment

AI is embedded in the business strategy, not running alongside it.

Business Strategy
1 AI across internal operations
2 AI embedded in external products
3 AI as competitive advantage
4 Ownership and funding in place
AI-First Strategy

③ AI-Fluent Workforce

Every employee can use AI fluently and build their own agents.

Your team
SP
Sarah Patel
Marketing
4 agents
JM
James Mwangi
Finance
3 agents
LC
Lin Chen
Operations
5 agents
OD
Olivia Davies
People
2 agents

④ AI-Ready Data

Data is clean, structured, connected, permissioned, and owned.

Data sources
Customer CRM
Sales Pipeline
Product Analytics
Finance Ledger
Clean Structured Connected Permissioned Owned

⑤ AI-Native Workflows

Workflows are mapped and redesigned around what AI can do.

How work gets done
100%
Workflows mapped
AI-led 50% Assisted 30% Human 20%

⑥ Agentic Orchestration

Agents do the work. People orchestrate, supervise, and decide.

Agent workflow
Research
Draft
Review
Decide
Agents Human

⑦ AI Governance

Clear policies define when and how AI is used, so people move fast safely.

Policies
Acceptable use
When and where AI may run
Data handling
What AI can and can't see
Human oversight
Where sign-off is required
Audit and logging
Every action is traceable

⑧ Measurement Loop

Performance is measured in real time and feeds directly into decisions.

Operational performance
78%
Measured in real time
LiveFeeding decisions
FAQ

Frequently Asked Questions

Still have questions?

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