Scope one complete workflow
Follow a real task from input to reviewed output. Agree its owner, baseline, data sources and acceptance criteria before choosing a model or integration.
AI implementation consultancy
From an AI use case to a workflow your team can run
Indexify builds scoped AI workflows, automations and internal tools around real work. You get clear inputs, tested checks and a handover, with a named owner and a practical support plan.
Worked example
Illustrative implementation: a checked monthly report
A team repeatedly combines exports, checks totals and writes commentary. This is a sample scope, not a claim about a named client result.
01
Agree the inputs
Name each source, reporting period, definition and reviewer. Reject a report when a required source is missing.
02
Build and test
Combine the approved inputs and produce a draft with traceable figures. Test missing periods, mismatched totals and a failed connection.
03
Accept and hand over
Compare preparation and correction effort with the baseline. Have another operator run the workflow before accepting the handover.
The acceptance record should show what was tested, what still needs review and who owns the next run.
Explore the reporting example Working method
A controlled route from need to useful adoption
Who does the work
Jon Goodey, founder of Indexify
Jon scopes the work and does it. His background spans software development, statistical analysis and marketing intelligence, so the person who finds the problem is also the person who can fix it.
There is no hand-off between sales, strategy and delivery. You deal with Jon from the first conversation to the final check.
Read Jon’s full profileScope
What the work covers
The scope follows your organisation and the problem you need to solve. These are the areas the work usually covers.
Connect approved sources
Assess access, data quality and the systems your team already supports. Use representative or redacted material first, with explicit permission boundaries for any live connection.
Build the useful part
Configure the workflow, automation or internal interface. Use fixed rules for repeatable steps and AI for tasks that need interpretation, extraction or drafting.
Test failures as well as success
Challenge missing sources, conflicting figures, unexpected inputs and unavailable services. Define when the workflow stops, asks for review or falls back to a manual method.
Hand over ownership
Document the inputs, checks, access and recovery steps. Practise the workflow with the intended operator, including the exceptions they will need to handle.
Review before expanding
Compare the pilot with its baseline. Decide whether to maintain, improve or stop it before extending access or automating more of the process.
How the engagement works
- 1
Discovery and decision
Confirm the problem, available evidence and prerequisites. If the case is unclear, begin with a readiness audit.
- 2
Specification and build
Agree what is included, what stays manual and how the result will be accepted. Build against that specification.
- 3
Pilot and acceptance
Run representative work through the full journey with a named reviewer. Record corrections and remaining limitations.
- 4
Handover and support
Give your team the operating instructions and agree responsibility for usage costs, maintenance and future changes.
What you take away
- Workflow specification and acceptance criteria
- Configured pilot and agreed integrations
- Test results and known limitations
- Operating instructions and recovery steps
- Team handover and support responsibilities
Read before you decide
Do you need training, an audit or implementation?
Choose the engagement that resolves the uncertainty you actually have.
Read the practical guide Prices
What AI set-ups cost
Start with an audit if you are not sure where AI fits, or go straight to a set-up for a workflow you already know.
AI readiness audit
From £3,000 one-off
plus VAT
- One team, in around two weeks
- Scored use cases and a named first pilot
- Regulated or sensitive-data work from £7,500
AI set-up
From £1,500 one-off
plus VAT
- One defined workflow, built with your team
- Clear data limits and human review steps
- Handed over so your team can own it
Ongoing support
From £350 a month
plus VAT
- Monitoring and fixes as the tools change
- Small improvements each month
- Plus any tool usage costs
Larger programmes are scoped in writing before any work starts.
All prices exclude VAT. See every published price or see how AI set-ups work.
Questions buyers ask
What does an AI implementation consultant deliver?
A scoped workflow that has been built, tested and handed over, with its specification, acceptance evidence, operating instructions and known limitations. The deliverable may be an automation, reporting process, internal tool or document workflow.
How is implementation different from AI strategy?
Strategy helps choose where to invest. Implementation turns an agreed use case into a working process with inputs, integrations, review and ownership. Our AI consultancy service can establish the strategy before a separate implementation scope is agreed.
Do you act as an AI automation agency?
Indexify provides hands-on AI automation and integration work within an agreed scope. We begin with the business process and the systems you can support. We do not assume that every task needs AI or that a pilot should have unrestricted access.
Can you integrate with our existing tools?
We assess the available APIs, connectors, permissions and support arrangements during discovery. A tool name alone is not a promise that every integration is available. The proposal identifies the connections included and any prerequisite access or licence.
How much does implementation cost?
Published AI set-ups start from £1,500 plus VAT, with ongoing support from £350 a month and tool usage charged separately. Discovery, integrations, testing and support are scoped explicitly. A complex or sensitive workflow needs a proposal rather than the starting price.
Will the workflow run without a person?
Only where the scope and risk justify it. Drafts, consequential actions and exceptions can retain human review. Acceptance includes the failure behaviour, rather than only a successful demonstration.
Related support
Continue with the page that matches the next decision
AI consultancy UK
Prioritise opportunities and agree a roadmap before commissioning a build.
Explore this serviceAI readiness audit
Check the data, ownership and constraints first.
Explore this serviceAI marketing consultancy
Choose useful AI opportunities across marketing and growth.
Explore this serviceBring one workflow that is ready to build
Tell us about the problem and what has prompted the conversation. Jon replies personally and will recommend a proportionate first step.