Solutions
Deployed workflows, not a product menu.
Each of these is a category of workflow we deploy — the specific system we build depends on your data, your tools, and where the highest-value work actually happens.
AI Agents
Teams have experimented with agents in a notebook or demo, but nothing runs reliably against real systems with real permissions.
Example workflow
An agent that reads a request, gathers information from three internal systems, drafts a recommendation, and routes it for approval.
Technical deployment
- Tool and API integrations scoped to least-privilege access
- Task-specific evaluation suites run before and after every change
- Human-approval checkpoints for consequential actions
- Full trace logging for every agent run
Potential measurable outcomes
- Task completion rate
- Human hours saved per cycle
- Time from request to resolution
Enterprise Search & Knowledge
Institutional knowledge is fragmented across wikis, drives, tickets, and inboxes — and search tools return keywords, not answers.
Example workflow
An employee asks a question in natural language and receives a grounded answer with citations back to the source documents.
Technical deployment
- Connectors into document repositories, wikis, and internal APIs
- Retrieval pipeline with permission-aware indexing
- Citation and source-tracing on every answer
- Evaluation against a curated set of real internal questions
Potential measurable outcomes
- Time to find information
- Search-to-answer rate
- Duplicate-question volume
Customer Support
Support volume grows faster than headcount, and quality is inconsistent across agents and shifts.
Example workflow
Incoming tickets are classified, summarized, and drafted into a response an agent reviews and sends.
Technical deployment
- Integration with the existing helpdesk/CRM platform
- Draft-and-review workflow — no fully autonomous customer-facing replies by default
- Continuous quality evaluation against resolved tickets
- Escalation routing for low-confidence or sensitive cases
Potential measurable outcomes
- First-response time
- Resolution time
- Cost per ticket
- Agent handling capacity
Operational Automation
High-volume manual processes — data entry, reconciliation, document review — consume operations headcount that could focus on exceptions.
Example workflow
Structured data is extracted from incoming documents, validated against business rules, and pushed into the system of record.
Technical deployment
- Document parsing and extraction pipeline
- Business-rule validation with confidence thresholds
- Exception queue for human review
- Write-back integration to the system of record
Potential measurable outcomes
- Processing time per item
- Straight-through processing rate
- Error rate
Software Engineering
Engineering teams spend significant time on repetitive work — migrations, test coverage, documentation — instead of net-new development.
Example workflow
An internal tool proposes a migration or test plan against the actual codebase, which an engineer reviews and merges.
Technical deployment
- Codebase-aware retrieval and static analysis
- CI-integrated evaluation and regression checks
- PR-based review workflow — no unreviewed commits
- Usage and acceptance-rate tracking
Potential measurable outcomes
- Engineering hours saved
- PR review-to-merge time
- Test coverage delta
Sales & GTM
Reps spend hours per week on research and CRM upkeep instead of selling, and account context is scattered across tools.
Example workflow
Before a call, a rep gets a synthesized account brief pulled from CRM history, recent news, and prior communications.
Technical deployment
- CRM and sales-engagement platform integration
- External research retrieval with source tracking
- Automated CRM enrichment with rep review
- Usage tracking tied to pipeline stage
Potential measurable outcomes
- Prep time per account
- CRM data completeness
- Rep capacity (accounts per rep)
Finance & Accounting
Month-end close, reconciliation, and reporting rely on manual review of spreadsheets and disconnected systems.
Example workflow
Transactions are matched and flagged for exceptions, with a summarized variance report generated for the close review.
Technical deployment
- ERP and general-ledger system integration
- Rule-based and model-assisted reconciliation
- Auditable trail for every automated match or flag
- Reviewer sign-off workflow before postings finalize
Potential measurable outcomes
- Close-cycle time
- Reconciliation hours
- Exception rate
Research & Analysis
Analysts spend the majority of their time gathering and summarizing information rather than forming judgment.
Example workflow
A research request is decomposed into sub-questions, answered from internal and approved external sources, and compiled into a draft brief.
Technical deployment
- Retrieval across internal data and approved external sources
- Structured synthesis with source attribution
- Analyst review and edit workflow before distribution
- Evaluation against analyst-graded benchmark questions
Potential measurable outcomes
- Research throughput
- Time per brief
- Analyst hours reallocated to judgment work
Document Intelligence
Contracts, claims, and forms arrive in inconsistent formats and require manual reading to extract the information downstream systems need.
Example workflow
Incoming documents are classified, key fields extracted, and low-confidence extractions routed to a reviewer before the record is finalized.
Technical deployment
- Document classification and extraction pipeline
- Confidence scoring with human-in-the-loop review
- Schema validation against downstream systems
- Full audit trail from source document to extracted field
Potential measurable outcomes
- Time per document
- Straight-through processing rate
- Downstream error rate