01
Extract agreed fields, match known customers or suppliers, and prepare a draft entry with the original document attached.
Workflow: document received → extract fields → compare with system records → flag mismatches → human approval → save the approved record.
02
Replace scattered email attachments with a checklist that shows what has been received and what is still missing.
Useful for customer, vendor, and project onboarding. Access and retention are scoped to the information involved.
03
Combine approved information into proposal, report, or job-summary templates for your team to edit and approve.
AI prepares drafts; the responsible person reviews accuracy, terms, and commitments before release.
A practical approach
The right starting point depends on your people, information, and business goals. We agree the scope together.
A concrete starting point
Accounting, customer service, logistics, and administrative teams processing invoices, orders, onboarding packets, and recurring reports.
One document family and a representative sample set, creating drafts that staff reconcile against the original.
Check extraction accuracy, duplicate detection, exception handling, and time spent preparing an approved record.
Bring a process owner, examples of the current work, and the systems involved. We agree which content, access, decisions, and review points your team needs to provide.
The scope identifies deliverables, documentation, training, ownership, deployment responsibilities, and any ongoing costs or support. Your staff get a clear path for exceptions and future changes.
Everyday business, practical AI
These are proposed implementations we can scope around your business. Explore the steps, the staff decisions, and a sensible first pilot.
Professional services
Turn discovery notes into a useful first proposal draft. Combine the customer’s requirements with approved offerings and templates, then leave scope, pricing, and commitments with the responsible professional.
Exclude other clients’ confidential information. Do not invent capabilities, fees, or legal terms. Require professional review before release.
CRM, document templates, service catalog, document storage, and proposal or signature tools.
Use one repeatable service offering and a reviewed template, with draft-only access and a checklist for release.
Compare draft preparation time, revision effort, missing requirements, and turnaround to an approved proposal.
Accounting & office teams
Reduce repetitive invoice entry by extracting fields and comparing them with known suppliers, purchase orders, and prior invoices. Give staff a draft they can check against the original document.
Keep duplicate checks, approval limits, and reconciliation. Flag bank-detail changes for separate verification and preserve the original document.
Invoice mailbox, document storage, supplier master data, purchase orders, and accounting.
Test a representative set of supplier formats and create drafts only until staff verify extraction and matching.
Track entry time, exception rate, duplicate detection, and agreement between approved records and source documents.
Logistics & transportation
Collect delivery records, check required attachments, and prepare a billing packet. Give the office a clear view of which shipments have complete evidence and which need attention.
Do not treat an unreadable signature or missing attachment as verified delivery. Keep customer-specific billing requirements and a traceable original record.
Shipment records, driver upload, document storage, customer requirements, and billing.
Use one shipment type and customer checklist with manual approval before marking records ready for billing.
Track incomplete packets, time from completion to billing readiness, and document corrections.
Implementation, end to end
01
Walk through a real request with the people doing the job. Identify the source records, decisions, bottlenecks, and exceptions before choosing software.
02
Define a limited starting scope and create a working version. Test representative requests alongside difficult cases, missing data, and failed connections.
03
Agree access, approval steps, acceptance checks, and a release plan. Show staff how to use the system, review exceptions, and contact the responsible owner.
04
Provide the agreed documentation and handoff. Review usage, operating costs, and issues; define support coverage and future changes in the engagement.
Organize the data and knowledge behind a priority workflow. Identify authoritative sources, clean up agreed records, document ownership, and prepare searchable information or reliable reporting inputs before adding more automation.
Connect the systems you already use, clean up agreed data, and create useful operational views of customers, jobs, orders, and exceptions.
Before we begin
Bring the business problem. We can help translate it into a practical technical plan.
The system should flag missing fields and uncertain matches instead of inventing a result. Representative documents, handwritten or unusual inputs where relevant, and known difficult cases help define which records can be prepared automatically and which need review.
We can start with reviewed drafts. Posting, payment, and other consequential actions need explicit permissions and the approval rules agreed for the project. The scope covers reconciliation, duplicate checks, source-document references, and recovery from failed updates.
We review the systems you use, available APIs or supported imports, subscription requirements, and access permissions. The scope identifies which connections can be implemented and which need an alternative.
A process owner, examples of the current work, and access to the systems included in the scope. Your staff help confirm the business rules, review a pilot, and decide whether the result is ready to use.
The proposal defines deliverables, assumptions, responsibilities, acceptance checks, and pricing. Third-party subscriptions and usage costs are identified separately. We choose meaningful measures from your existing process rather than promise an untested result.
The agreement defines code and account ownership, documentation, training, deployment responsibilities, and any ongoing support. Staff get a clear way to handle failures and requests for changes.
A short conversation can help you decide where AI and better systems would make a useful difference.
