Organize the incoming request.
Proposed use: extract agreed fields from an enquiry, flag missing details and prepare a queue entry for staff to check. Avoid re-entering the same request across trackers.
AI-AGENT INTEGRATION · TAILORED DEVELOPMENT
Useful assistance.
A clear review point.
Connect an agent to agreed business records so it can prepare summaries, organize enquiries and draft the next step. Keep the sources visible and decide which actions need a person’s approval.
Integration service scope · Feasibility, access and evaluation agreed per project.
The logistics demo illustrates a review flow using fixed rules, not a live AI model.
EXAMPLE / SHIPMENT UPDATEHUMAN REVIEW
Read. Prepare.
Check. Approve.
Approved recordsSources attachedBooking reference, receipts, dispatch and delivery events.
Draft status updateAwaiting reviewSummarize known quantities and flag what is still outstanding.
Coordinator reviewApproval requiredConfirm the records and wording before an agreed action.
Illustration only. No account, inbox or external system is connected here.
WHERE AGENTS MAY HELP
Start with work
that has a clear check.
A useful agent has a defined task, approved sources and a way to assess the result. We agree the boundaries before connecting tools.
Bring differences to the surface.
Proposed use: compare structured values from quotations, purchase orders and invoices. Route uncertain matches or discrepancies to a reviewer.
Prepare a grounded update.
Proposed use: summarize known order or shipment milestones, point to source records and draft a customer update. The reviewer approves what is communicated.
Find the approved procedure.
Proposed use: answer internal questions from agreed manuals or SOPs, with references. Missing or conflicting information goes back to a person.
Make the next task visible.
Proposed use: identify records awaiting a response, suggest an owner and prepare a follow-up draft. Recipient eligibility and sending permission remain part of the workflow.
Work within agreed access.
Assess compatible ERP, CRM, WMS, document, email and messaging tools. Define read access, allowed changes, action logs, retries and human approval for each connection.
HOW THE INTEGRATION OPERATES
Give the agent context.
Keep decisions accountable.
- 01 / SCOPEChoose a narrow task.Agree the input, permitted data, expected output and who owns the result.
- 02 / PREPAREUse approved sources.Read the allowed records and prepare a draft with references. External document text is treated as data, not authority to act.
- 03 / VALIDATECheck rules and uncertainty.Verify required fields, quantities and references. Escalate missing, stale or conflicting information.
- 04 / REVIEW & RECORDApprove the next step.A person checks consequential drafts or actions. Keep an action record and a clear failure or recovery path.
What you can see in the logistics demo: prepare a status draft from fictional receipts, dispatch, delivery and cost entries. Check its sources, then approve it within the sample. If a source record changes, the draft must be refreshed before approval.
This interaction is a rules-based explanation of an integration pattern. It does not demonstrate model accuracy, a live AI connection or automatic external actions.
HOW WE BUILD IT
Prove one useful task first.
Review your process and tools, prepare representative sample cases, then agree a small prototype or pilot. Evaluate accuracy, staff review time, failure handling and running costs before expanding.
The scope identifies the AI provider, tool access, hosting, data retention, access controls and ongoing costs. Any sensitive-data use needs an agreed handling approach.
WHAT STAYS WITH YOUR TEAM
Clear authority to act.
We define which tasks can be automated and which require approval. Financial commitments, bookings, customer messages and changes to operational records need explicit rules and authorization.
No system should promise that every draft is correct. The workflow needs a way to inspect sources, reject an output, correct it and recover from failed or repeated actions.
PRACTICAL QUESTIONS
Know what is being connected.
Is an AI agent already connected to my business?
No. A website demonstration does not connect your accounts. Any real integration requires an agreed scope, access permissions, configuration and validation before business data is introduced.
Do we have to replace our existing software?
Often the starting point is a focused workflow around existing systems. We check whether APIs, exports or other supported connections are available and suitable before recommending an implementation.
Can you guarantee savings or perfectly accurate answers?
No. We agree measurable acceptance criteria using representative tasks and compare the pilot with your current process, including staff review time and provider costs. Uncertain or unsupported results need a human decision.
ONE TASK, A CLEAR PURPOSE
What should the agent
help your team prepare?
Describe one repeated task, the systems involved and who checks the result. We’ll discuss a relevant example and what would be needed to build it.
The introductory demo is free. A new prototype, paid pilot or integration is separately scoped and quoted.
Discuss your agent workflowbrukim93@gmail.com
Opens your email app. Please use a general description and sample data.