Commercial first
We establish the cost of the current work and the definition of a useful outcome before committing to a solution.
AI automation & implementation consulting
A business case before the build.
AutoMates provides AI automation and implementation consulting for teams that need to find the work worth changing, design a safe path forward, and put an AI workflow into operation. The starting point is one concrete process—not a vague innovation programme.
What this means in practice
Tool-agnostic delivery
The architecture follows the process, data, controls, and client environment—not a preselected vendor.
A clean handover
Documentation, ownership, support boundaries, and human checkpoints are part of the delivery—not an afterthought.
The working principle
If the opportunity does not justify discovery, we say so.
The fit call is for testing whether a specific process has enough pain, volume, and operational support to warrant a proper assessment. It is not a disguised workshop or a sales presentation about every available AI tool.
Where we help
Consulting that starts with the work, not the technology.
The strongest automation candidates usually contain repetitive hand-offs, inaccessible knowledge, slow approvals, fragmented systems, or quality risk that can be measured.
Find the real constraint
We trace the actual path of a task: the people involved, systems touched, decisions made, exceptions created, and time lost. A process often looks simple until the exceptions are visible.
Choose the smallest reliable intervention
Sometimes the answer is a simpler workflow, a cleaner data model, or a clear decision rule. AI is useful where context, unstructured information, or judgment needs support—not as decoration.
Make the case measurable
A recommendation states the current baseline, assumptions, expected benefit, dependencies, control points, and the evidence needed to validate the result after launch.
The human side of automation
Give your people more freedom and focus.
Most businesses are not short of valuable work. They are short of the time and attention needed to do it well. The people closest to a process usually understand its exceptions, risks, and frustrations better than anyone else. Treating their knowledge as part of the solution leads to better automation—and to change that teams can support rather than fear.
The AutoMates principle
Our automation projects are not designed around eliminating roles. They are designed to return capacity to the people the business already depends on.
- 01
Start with the people doing the work
We listen to people handling the process and involve them early. They know where time is lost, where judgment matters, and where an apparently simple workflow becomes complicated in practice.
- 02
Make the purpose clear before the change arrives
When people understand how the change gives them more time for meaningful work, resistance usually becomes participation.
- 03
Let AI support decisions—not own them
AI can organise information, identify patterns, and help people evaluate their options. But important decisions and their consequences should remain visible, explainable, and ultimately owned by a person.
What an engagement covers
From a first conversation to an operating workflow.
Fit and discovery
We agree the process to investigate, relevant stakeholders, access needs, and a paid discovery scope. The resulting map and baseline belong to the client whether or not implementation follows.
Design and implementation
We define the target workflow, integrations, model and hosting choices, approval logic, test cases, and the smallest production-ready build that can prove the value.
Validation and handover
Success measures, controls, and ownership are agreed during discovery—not after an MVP. Before go-live, we validate the workflow against that baseline, settle documentation, access, support, and handover.
Common questions
Answers before the call.
Clear answers to the practical questions that usually come up before a first conversation.
Do we need a company-wide AI strategy first?
No. AI is not a strategy in itself; it is a tool for delivering the company’s existing strategic priorities. A well-chosen process creates a realistic view of data, systems, governance, change effort, and value before a broader AI roadmap is funded.
How long does implementation take?
Small workflows can be live in as little as two weeks. A complex digitalisation project with multiple systems, data cleanup, controls, and change work can take up to six months. Process Discovery narrows that range before implementation begins.
Continue exploring
Run Process Discovery first
See the scope, deliverables, and decisions behind a proper automation assessment.
See how the commercial model works
A transparent explanation of discovery, savings baselines, and the 25% Year 1 model.
Read the AutoMates Method
The full path from a process baseline to measured savings.
AutoMates
Bring one process, not a vague AI wish list.
A short fit call is enough to decide whether the opportunity deserves a proper Process Discovery.