Document intelligence
Classify mixed documents, extract structured fields and tables, validate against rules, and route uncertainty for review.
- PDFs, scans, forms, invoices, statements
- Structured JSON, Excel, database, or API output
AI Workflow Automation
Turn selected workflows into controlled AI systems.
We help organizations move from an interesting AI idea to a bounded workflow with clear inputs, business rules, review points, and useful outputs.
We begin with the workflow and the outcome. A model is one component—not the complete business system.
Core capabilities
Build only where AI earns a place in the process.
The solution shape depends on the documents, decisions, systems, and controls involved.
AI Workflow Automation
Connect intake, AI processing, deterministic rules, approvals, and downstream actions into a traceable sequence.
- Routing, drafting, validation, and hand-offs
- Human approval at consequential steps
Knowledge assistants
Help teams find and use approved internal information with source-aware answers and access controls.
- Policies, procedures, product knowledge, and SOPs
- Retrieval, citations, permissions, and feedback
Bounded AI agents
Design agents for clearly defined tasks, tools, stopping conditions, escalation paths, and evaluation.
- Specific goals and permitted actions
- Logs, limits, human review, and fallbacks
The system around the model
Business-ready means more than a successful prompt.
Model demonstration
InputA single example or manually copied text
OutputA plausible response with variable structure
ControlA person inspects everything informally
SuccessThe example appears to work
Controlled workflow
InputDefined channels, formats, permissions, and quality checks
OutputValidated structure for a real downstream process
ControlRules, confidence thresholds, approvals, logs, and fallbacks
SuccessQuality, handling time, adoption, and exception rate are monitored
Workflow discovery example
Map the process before selecting the technology.
A discovery sprint clarifies the document types, decision rules, data boundaries, integrations, and human responsibilities needed for a useful pilot.
- Current-state process and pain points
- Value, feasibility, and risk assessment
- Proposed pilot scope and success measures
- Review, integration, and operating requirements
Human-controlled by design
Reliability comes from explicit controls.
Validation
Combine model output with schemas, reference data, deterministic rules, and cross-checks.
Human review
Route exceptions, low-confidence fields, and consequential decisions to the right owner.
Data boundaries
Define approved sources, access, retention expectations, and information-handling rules.
Evaluation
Test representative cases and monitor quality, failure modes, adoption, and change.
Applied demonstration
Travel-finance document intelligence
Explore an illustrative proof of concept using fictional inputs. It demonstrates classification, extraction, validation, exception routing, and export.
Illustrative proof of concept
Mixed formats become review-ready records.
See how a controlled workflow can handle scanned invoices, expense records, handwritten notes, multiple currencies, and uncertain fields.
1
ClassifyDocument type, source, country, and language
2
ExtractFields, tables, totals, tax, and currency
3
ValidateBusiness rules, completeness, and consistency
4
Review & exportApprove exceptions and connect approved output
Explore a focused pilot
Bring one workflow worth understanding.
We will help assess its value, feasibility, data requirements, controls, and sensible next step.