AI that does the paperwork. Your people keep the decisions.
We build AI into specific steps of your operation — quotes, specs, supplier documents, claims, dispatch — where it accelerates repetitive manual work. AI handles the heavy drafting and structuring, while your people remain the mandatory review checkpoint before anything touches money, customers, or real-world operations.
*Operations Audit — from $1,000, 5–7 working days (for a single workflow).
AI is a tool on the line, not the line.
Process first, model second
We map how information actually moves through your physical operations before automating anything. If a simple programmatic rule does the job better than AI, we use the rule.
Calculations by code
AI reads messy inputs — measurement sheets, PDFs, vendor emails — and turns them into structured data. Prices, quantities, waste factors and totals are calculated by tested code, not guessed by a language model.
Mistake-proofing around every model
Each model output is strictly checked against your schema, catalog, and tolerance ranges before it touches your database. Anything outside limits routes to an operator review queue.
Where AI earns its place in physical-world operations
Repeat document and data tasks that slow down estimators, dispatchers, and operations managers.
Site measurements to priced quote
Reads dimensions written on measurement sheets and notes. It does not measure from photos. Notes and measurement sheets become a structured draft quote and material spec, ready for estimator sign-off.
Claims and shipping documents
Inbound emails and shipping paperwork are classified, matched to existing shipments, and converted into structured draft claim records with evidence attached.
Incoming orders and supplier invoices
Customer purchase orders and supplier invoices are read, verified against your catalog and historical POs, and queued as pre-filled drafts for operator confirmation.
Weekly operational digest
Numbers and operational KPIs are pulled directly from your database by code; AI writes only the narrative commentary on anomalies, trends, and bottlenecks.
From audit to a working automation
A structured deployment path where baseline extraction accuracy and review queue workflows are benchmarked on your real files before go-live.
Operations Audit
We map the workflow, inspect sample documents, and identify where AI actually delivers positive ROI — and where simple database rules are better.
Pilot on Your Real Data
We test the pipeline on a representative sample of your historical files, measuring real accuracy, extraction variance, and the human review rate before go-live.
Build & Integrate
Connected directly to your existing tools, spreadsheets, or custom CRM. Validation rules, operator approval queues, and error handling are fully implemented.
Run & Tune (Optional)
Continuous monitoring, prompt versioning, and model updates under an optional care plan. The code lives in your repository, though external AI APIs may require periodic prompt or endpoint adjustments as providers evolve.
Built for operations where an error costs real money
We treat AI as an operations assistant, never an unmonitored decision maker.
AI drafts, structures, and pre-fills; your team reviews and clicks 'Approve' before any quote, message, or invoice is finalized. AI is an assistant, never an unmonitored decision maker.
Schema, numerical range, and reference catalog checks catch impossible values before database insertion. Out-of-tolerance records route to review queues.
Input payload, raw output, prompt version, validation score, and human approver ID are permanently retained according to your corporate data policy.
Each AI pipeline has restricted read/write access scoped only to the specific database tables and document storage folders its task requires.
No runaway token bills. Hard spending limits and usage alerts are configured directly in your OpenAI or Anthropic console so usage can never exceed your pre-set budget.
Any automated pipeline can be paused with one click in your admin panel; your team always retains the standard manual processing workflow.
Pay for the build once. Keep it running if you want.
Fixed prices for implementation with pilot verification, followed by optional month-to-month support plans with full code ownership.
Workflow Build
Care Plan
- Continuous extraction accuracy monitoring
- Prompt versioning & tolerance adjustments
- API provider upgrades & deprecation patches
- Response within 1 business day · Cancel with 30 days' notice
Growth Plan
- All features of Care Plan included
- Up to 18 hours reserved monthly capacity for new automations
- Each new pipeline scoped with transparent estimates
- Response within 1 business day · Cancel with 30 days' notice
Sample Monthly Care Report
- Tightened numerical range validation on supplier invoice totals to eliminate sub-total mismatches.
- Added 1 new regional vendor format to the document parsing pipeline.
- Updated model prompt versioning after reviewing 4 operator-corrected exception items.
Straight answers about reliability, data and ownership
Clear answers on parsing accuracy, data privacy, model updates, and build timelines.
Find the step that's costing you the most hours
Book a 30-minute discovery call. We'll examine one operational workflow and tell you honestly whether AI, a simple rule, or neither is the right fix.