AI IMPLEMENTATION & AUTOMATION
Put practical AI to work in your operations.
Turn a defined business need into a working process that reduces repetitive effort, connects information and supports your people.
I help design and implement AI-assisted workflows and automation, with testing, documentation and support to introduce the agreed changes into day-to-day work.
Start with a process that needs to work better.
Sales preparation and follow-up
Bring relevant information together, prepare research summaries and draft follow-ups for your team to review.
Business knowledge and internal questions
Make approved information easier to find through a focused assistant that points people to its sources and escalates when needed.
Reporting and management visibility
Connect agreed information sources and reduce the repeated work involved in preparing useful reports.
Administration and handovers
Reduce duplicate data entry, move information between suitable systems and make the next action clearer for the person responsible.
These are possible applications. What can be delivered depends on your systems, information access and agreed scope.
From a defined need to a process your team can use.
1
Confirm the workflow
Agree the starting point, the people involved and the outcome we are aiming for. Check the available information, system connections and practical constraints.
2
Design the change
Map how the work should move, what happens automatically and where someone needs to review, approve or step in.
3
Build and test
Configure the tools and connections, test representative tasks and check what happens when information is missing or a step fails.
4
Introduce and review
Help the people using the workflow understand it, document how it works and review the agreed measures before deciding what to improve next.
Where an AI agent is useful, its role is defined around a specific job, the tools it can use and the decisions that remain with your team.
See the wider engagement process →A working solution with a clear handover.
The agreed scope sets out what will be delivered. This can include:
- The configured workflow, tool connections and agreed AI functionality.
- Testing against defined acceptance criteria, with any remaining limitations recorded.
- Documentation covering operation, ownership and what to do when something needs attention.
- Guidance for the people using or managing the workflow.
- A clear arrangement for review, maintenance and any further changes.
Software subscriptions, account access and ongoing responsibilities are discussed before implementation begins.
Make the handover from sales to delivery clearer.
Problem
A media business wins a booking, but the operations team still has to chase details across emails, spreadsheets and sales records.
Solution approach
Define the information required, connect the agreed sources and create a handover workflow that flags missing details. AI can help summarise relevant notes, with a named person confirming the brief before delivery begins.
Intended result
Less chasing, fewer repeated entries and a clearer starting point for the delivery team.
Illustrative scenario. Feasibility and outcomes would be assessed for the actual business.
Keep improving once the first workflow is in use.
Real use shows where a process needs refining. Ongoing advice and improvement can be agreed to review performance, respond to changing needs and identify the next useful change.
The level of support and any additional development are scoped separately, so responsibilities remain clear.
Common questions
Can you work from a plan we already have?
Yes. We can begin by reviewing the proposed workflow, checking feasibility and agreeing what needs to be delivered. A full consultancy engagement is not automatically required.
Does everything need to use AI?
No. A workflow may combine ordinary automation, existing software features and AI where it adds value. The approach follows the task.
Will AI send messages or make decisions without us?
That is defined in the scope. We agree which actions can happen automatically and which require review or approval, based on the work involved and its consequences.
How long will implementation take and what will it cost?
This depends on the workflow, integrations, access and testing required. A defined proposal sets out the scope, fees, dependencies and delivery stages before work starts.
Which process would you most like to take the friction out of?
Tell me what happens today, where it becomes difficult and what a better version would look like. We can work out whether there is a practical implementation to explore.
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