Find the right information
Give employees answers grounded in approved internal sources, with links they can check.
Practical guide | Enterprise AI
Turn your internal knowledge and recurring processes into a focused AI pilot. Start with the work people do, the data they need and the decisions that should stay with them.
By Dr. Justinas Mišeikis · Updated · Internal data & process design
Start with a real bottleneck
Employees searching for the right document. Support teams rebuilding an answer. Sales copying last year's proposal. Operations chasing an exception. Each is a specific process to assess before choosing an AI tool.
Give employees answers grounded in approved internal sources, with links they can check.
Turn scattered records into a draft, comparison or recommendation for the person doing the work.
Define which updates can be automated and which need a named person's approval.
Four starting points
Illustrative workflow designs, not claims of previous client deployments. Select a process to see what an assessment would cover.
Before selecting a platform
For one workflow, follow a real case from its trigger to its final outcome. Include the time spent waiting, checking and correcting.
What starts the work? Who owns the result?
Which records and documents are needed?
What is retrieved, compared or drafted?
Who checks exceptions and approves actions?
Where is the result recorded and measured?
Name the data owner, authoritative version, refresh cycle and missing fields. Read changing order or account status from its system of record; use documents for explanatory context.
Map existing user permissions to search results and actions. Define retention, hosting and logging requirements with the client's IT and data owners before selecting a deployment approach.
Document-level access checks are an implementation requirement, not something a prompt can replace. See Microsoft's access-control guidance (opens in a new tab) for one concrete example; feature maturity and connector coverage must be checked for the chosen platform.
A bounded first pilot
Start with a representative set of completed cases that the client is authorised to use. Compare the proposed workflow with the current process, including human review and correction time.
Use the simplest approach that meets the need. Search or rules-based automation may be enough. Anthropic's workflow guidance (opens in a new tab) explains the trade-off between predictable workflows and more autonomous agents.
What I help you produce
A prioritised shortlist of workflows, the current steps and handoffs, and a recommendation on where to start.
A source and system map, ownership and permissions, integration dependencies, and gaps that need fixing.
A scoped workflow, evaluation cases, cost assumptions, acceptance criteria and a handoff for your internal team or implementation partner.
Time released = case volume × reduction in average handling time, including review and rework. Cash savings require an actual reduction in spend. Account for integration, licences, model usage, support and ongoing evaluation separately.
Reusable worksheet
Use the blank brief with your operations, IT and data owners. Start with the process and system names; sensitive company data is not needed for an initial conversation.
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Put the context to work
I can help assess the opportunity, map the data and define a pilot with useful decision criteria. Implementation responsibilities are agreed with your team or chosen delivery partner.