Small-business friendly · Custom scope
Turn repeated document handling into a reviewable workflow
If your team reads similar documents and copies the same fields into another system, start with a bounded extraction task. We build a pipeline that produces structured output and makes uncertain or missing information visible to a reviewer.
Who this is for
Small teams processing recurring enquiries, supplier documents, application forms or internal reports that have a clearly defined set of fields to capture.
A practical example
A team processing supplier documents could extract a reference number, dates and line-item totals into a reviewable record. Missing fields and inconsistent totals should be flagged before the data enters a business system.
What the starter includes
- One agreed document type and up to ten target fields
- An upload or intake route and structured output format
- Validation rules and a review queue for incomplete results
- A sample-document evaluation and CSV export
Timing and delivery
Plan 2–4 weeks after sample review. Document variability and scan quality affect both delivery effort and the review work needed after launch.
After your enquiry, we review the goal, current setup and budget. You receive a scope with deliverables, exclusions and milestones before committing. Feedback and access to your content or systems affect the schedule.
Tools and ongoing costs
Text extraction or OCR, structured model output and deterministic validation. We agree data retention, access and the destination format before processing production documents.
Third-party subscriptions, domains, hosting, ad spend and taxes where applicable are identified separately. Payment milestones and optional maintenance are agreed in the proposal.
Questions before you start
Can you promise perfect extraction?
No. We test against representative documents and agree how to measure field accuracy, missing values and review effort. Human review remains important where errors would affect business decisions.
Can this search our internal documents too?
Knowledge search is a separate retrieval use case. We can scope it through AI integration, including source references and permission-aware access rather than adding it implicitly to extraction.
Can we try it before processing the full archive?
Yes. Start with an agreed sample set and evaluate the output and cost. Scale only after the pilot shows that the workflow is useful and manageable.
Plan your next step
Based in Nepal, working remotely with small businesses in Australia, the UK, New Zealand and the USA.
Let's plan an AI system that proves its value.
Tell us which repetitive workflow, customer bottleneck, or product experience needs improvement. We'll map a practical AI starting point around your data, controls, and desired outcome.
- Free 30-minute AI use-case call
- Agents, automation, and product AI
- Guardrails and human handoff planned
- We reply within 24 hours
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