SERVICES

Ways to work together

You might be deciding where AI could help, improving an existing process or ready to build a solution. Start with the support that fits your business.

Find the right starting point Talk to us

WHERE TO START

Start with the business need, then choose the level of support.

You can start with any offer.

Four ways to work together

Compare who each offer suits, what you receive and how the work is carried through.

The business need

You can see opportunities for AI but need to decide where to begin.

START HERE

AI Readiness Review

We assess current AI use, opportunities and risks, then recommend what is worth doing.

Who it suits

You know AI matters but are not yet sure what it means for your organisation
People are already using ChatGPT, Claude or other tools in different ways
You can see several possible opportunities but need help deciding where to begin
You want a grounded plan before committing to tools, agents, automations or a larger implementation

What you receive

Prioritised opportunities, a practical 90-day direction and a clear next step.

Included

Current AI use and strongest opportunities made clear
A practical 90-day direction and next step

View this offer Make an enquiry

How it works

01 Understand

We begin with the business context, current use of ChatGPT, Claude and other AI tools, leadership priorities, team experience and the concerns already shaping decisions.

02 Assess

We assess what is already working, where the gaps are, and what would make AI, agents and automations useful, reliable and responsible in practice.

03 Prioritise

We compare AI, agent and automation opportunities by value, feasibility, readiness, risk and what the organisation could learn from starting there.

04 Decide

We bring the findings together, agree what to do now, later or not at all, and turn the review into a practical direction for the next 90 days.

Readiness and direction

The business need

Reporting, enquiries, onboarding or another recurring process takes too much manual effort.

Start with a real business problem

Use AI to Improve One Part of Your Business

We simplify one process and test where AI or automation improves the work.

Who it suits

Teams spending too much time on repetitive, manual or inconsistent work
Businesses with recurring processes that create delays, duplication or unnecessary effort across the organisation
Organisations that have completed a readiness review and are ready to act on a priority opportunity
Businesses that already know which task or process they want to improve

What you receive

A mapped process, a tested way of working and recommended next steps.

Included

Start with one real process in your business
Use AI or automation to reduce the repetitive work

View this offer Make an enquiry

How it works

01 Choose the process to improve

Start with real work and current capability: repeated tasks, time drains, drafting, searching, handoffs, decisions and where people need more confidence or support.

02 Find the repetitive or manual work

Choose the right mix of people, generative AI, automation and systems, then shape practical learning and support around the work itself.

03 Decide what AI should do

Prepare trusted context and give people the guidance, examples and practice they need to use the new approach responsibly.

04 Build and test the new workflow

Run a small, controlled test with real work and see whether it improves quality, saves time and strengthens people’s capability.

AI workflow improvement

The business need

You have a defined business need and want a working AI solution.

Bring the right solution to life

AI Implementation

We build or configure the solution, connect the information it needs, and test it with your team.

Who it suits

Businesses wanting to implement an AI agent, assistant or workflow automation
Teams with a clear business problem or approved AI opportunity
Businesses exploring voice AI, customer support, marketing agents, knowledge systems or connected workflows
Organisations that need help getting the information, workflow and controls underneath an AI implementation right

What you receive

A working solution, test findings and a handover with clear responsibilities.

Included

AI agents and workflow automation
AI and voice assistants
Business knowledge and context systems
Connected dashboards and portals
Custom tools built around your business

View this offer Make an enquiry

How it works

01 Plan

Start with the business problem, not the technology. We agree the outcome, what existing systems can be used and the simplest practical path forward.

02 Build

We configure or build the solution, using the tools and systems you already have wherever that makes sense.

03 Test

We test the solution in the real business, including edge cases, quality, security and how people actually use it.

04 Handover

We document what matters, make ownership clear and support the team to use and improve the solution after handover.

Solutions and implementation

The business need

AI is already in use and you need help keeping it useful and reliable.

Keep learning and improving

Ongoing AI Strategy and Capability

We review results, address issues and help your team choose what to improve next.

Who it suits

Organisations with live AI use cases or implementations
Leadership teams managing a growing AI portfolio
Teams wanting to strengthen internal capability and reduce dependency
Businesses needing an ongoing review, governance and improvement rhythm

What you receive

Review findings, agreed priorities and a plan for improvements and team learning.

Included

Regular strategy and performance reviews
Stronger internal judgement, governance and capability

View this offer Make an enquiry

How it works

01 Review

Assess outcomes, adoption, reliability, governance and changing organisational needs.

02 Prioritise

Decide which improvements, risks or new opportunities matter most now.

03 Strengthen Capability

Develop team confidence, practice, ownership and leadership capability.

04 Improve and Expand

Refine live systems and carefully introduce additional use cases.

Strategy and capability

Case studyCampaign Director Agent active, security-approved and QA-passed

AI agents and marketing operationsBusiness operations and marketingCase study · September 2026

Using an AI Agent to Coordinate Marketing Work Without Losing Control

Marketing work was spread across campaigns, programs, content, tasks and approvals. We organised the underlying information and rules first, then introduced an AI agent to coordinate defined work without giving it authority to publish, send, spend or change strategy.

The challenge

The marketing workload was spread across connected but separate activities. Adding an AI agent on top of that without clear context, responsibilities and limits would have created more confusion rather than less.

What we did

Structured the campaigns, briefs, tactics, content, programs, tasks and approval rules the agent needed to understand. Then introduced a Campaign Director Agent with a defined job and explicit limits around strategy, publishing, sending and spending.

Related pathwayAI solutions, automation and agents

Read the case study

A customer service team reviewing an AI-assisted enquiry workflow.

Case studyA working voice AI assistant for routine customer enquiries

Voice AI and customer operationsService businessCase study · August 2026

Implementing a voice AI assistant for a service business

A voice AI assistant was designed and implemented around common customer enquiries, approved business knowledge and a clear path to human follow-up. The assistant is complete and working.

The challenge

The business needed a more reliable way to handle routine enquiries without losing the context, judgement and human follow-up customers sometimes need.

What we did

Mapped the enquiry workflow, defined what the assistant could and could not handle, structured the approved knowledge it could use and designed escalation and follow-up.

Related pathwayAI solutions, automation and agents

Read the case study

Two business operators reviewing a property workflow and portfolio information.

Case studyAll 35 workflow steps mapped into one shared system

Workflow and operational systemsPropertyCase study · June 2026

Connecting workflows in a property business

A property business moved a 35-step workflow from the owner's head and spreadsheets into a shared system for tracking work, reminders, reporting and approved publishing.

The challenge

The owner was managing the work through personal knowledge and spreadsheets. The end-to-end process depended on them remembering the steps and keeping track of progress.

What we did

Worked through the process with the owner, identified 35 steps from end to end and mapped all 35 into the shared system. Organised the underlying information and built shared working views, reminders and reporting, with human review before approved information was published to the website.

Related pathwayAI solutions, automation and agents

Read the case study

Not sure where to start?

Tell us what you want to improve. We’ll help you identify the appropriate starting point.

Discuss your business priority