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Services

Build useful systems. Reduce running costs.

Five service lines, covering repetitive work and technology spend. We scope the work, implement the changes, and hand working systems over to your team.

Technical cost reduction

A platform bought for one project becomes a permanent expense. Two tools end up doing overlapping work. We review your tools, infrastructure, and engineering workflows to find where you could spend less while keeping the capabilities your team needs.

  • Lower-cost alternatives to your biggest technology expenses
  • Cloud resources and service tiers that no longer match actual usage
  • Overlapping systems that add subscription costs and maintenance work
  • Ongoing technology maintenance, updates, and support to keep systems running reliably
We find the savings and do the work OneTPM handles the migration, verifies that the system works, and hands it over with clear documentation. Ongoing maintenance and support are available to help keep it reliable.

Document intelligence

Someone on your team retypes what matters from each invoice, contract, and intake form. We remove that work.

  • Ingestion for PDF, scans, and email attachments
  • LLM extraction into your schema, validated against business rules
  • Confidence thresholds: high-confidence records file automatically, the rest queue for a person
After handover, your team runs The review queue, the business rules, and the exception list. Adding a new document type is configuration, not a new project.
Documents pdf · scan · email Extraction LLM → your schema Validation rules + confidence Auto-file high confidence Human review everything else EVERY STEP LOGGED · CORRECTIONS FEED BACK INTO RULES
Fig. 01 — Document intelligence pipeline

Reporting & analysis automation

Recurring reports repeat the same steps each cycle: pull, reconcile, format, summarize. Machines handle the first three, and now the draft of the fourth.

  • Scheduled collection from your source systems
  • Automated reconciliation with flagged mismatches, not silent fixes
  • LLM-drafted narrative summary against the assembled numbers
After handover, your team runs The schedule, the source connections, and the report templates. Your analysts spend the cycle on review and judgment, not collection.
ERP / Finance CRM / Ops Sheets / DB Collect & reconcile Draft report numbers + narrative Analyst review approve → send MISMATCHES FLAGGED, NEVER SILENTLY FIXED · NOTHING SHIPS WITHOUT APPROVAL
Fig. 02 — Reporting automation pipeline

Knowledge systems

Policies, SOPs, and contracts live across drives, wikis, and inboxes. We build retrieval over your own documents that answers with citations.

  • Indexing over your existing document stores, respecting existing permissions
  • Retrieval-augmented answers with source citations on every response
  • Usage review so you can see what people ask and where documentation is missing
After handover, your team runs The document sources, the access rules, and the review dashboard. Content owners update documents; the system stays current.
Your documents policies · SOPs · wikis Index permission-aware Retrieve + answer grounded in passages Answer sources cited unanswered questions reveal documentation gaps "NOT IN THE DOCUMENTS" IS A VALID ANSWER · NO UNGROUNDED RESPONSES
Fig. 03 — Knowledge system architecture

Data & analytics QA automation

Dashboards tell you something failed; a person still investigates, files the ticket, and chases the owner. We build agents that do that, and agents that verify analytics events end to end.

  • Agents that read your test results, analyze failures against source tables, then file, prioritize, and route tickets to the owning team
  • Plain-language end-to-end test journeys: describe the interaction and the expected events, and the agent drives the client and verifies every backend layer
  • Results and audit-trail tables for every run — evidence, not just green checkmarks
After handover, your team runs The test definitions, the routing rules, and the audit tables. New journeys are a sentence of instruction, not a sprint of engineering.
Test results dq · e2e runs Agent analysis finds root cause source tables queried Ticket filed prioritized · assigned Owning team auto-assigned EVERY RUN WRITES TO RESULTS + AUDIT TABLES · ROUTING REVIEWED UNTIL TRUSTED
Fig. 04 — Data & analytics QA pipeline

Bring us one process or one recurring cost.

We will look at how it works, what it costs, and whether a change is worth making.

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