Use cases
Thirty concrete patterns across six business functions: what hurts today, what we build, and what changes once the system reaches production — with measurement and human oversight from day one.
Request a diagnostic →30-minute call · we reply within one business dayOperational knowledge trapped in manuals, tickets, and the memory of your veterans.
Technicians lose time hunting procedures across PDF manuals, while failure history lives in a few people's heads.
What we buildA RAG copilot connected to manuals, work orders, and approved maintenance plans, with source citations.
Faster diagnostics and fewer escalations between shifts.
Paper forms and PDFs are keyed into the ERP by hand, and the errors surface weeks later.
What we buildAutomated data extraction with validation, routing only exceptions to human review.
Less manual entry and fewer registration errors.
Delays, shortages, and last-minute changes get resolved over email, with no priority or traceability.
What we buildAn agent that classifies each exception, proposes the action, and routes it to the right owner.
Faster exception response with a complete history.
Inspection criteria vary by shift, and findings land in free-text forms nobody can analyze.
What we buildA quality-criteria copilot with structured findings and evidence capture.
Consistent criteria across shifts; defect analysis in days, not months.
The documentation exists, but nobody can find it — critical knowledge depends on asking the right person.
What we buildA RAG system over approved documentation with verifiable citations and role-based access.
Answers in seconds, with a verifiable source.
Manual reconciliation, scattered policies, and closes that drag on longer than they should.
Analysts reconcile invoices against payments and purchase orders by hand, line by line.
What we buildAn agent that classifies, reconciles, and routes only exceptions, with amount limits and human approval.
A faster monthly close and fewer reconciliation errors.
Spend gets reviewed once a month, when nobody remembers the context behind each line item.
What we buildContinuous spend classification with anomaly detection, explained in plain language.
Anomalies caught in the week, not at close.
Reviewing standard clauses in every contract consumes hours of expensive profiles.
What we buildKey-clause extraction compared against internal policy, with deviations flagged.
First-pass review in minutes, with documented reasoning.
Travel, purchasing, and approval policies live in PDFs nobody reads until something goes wrong.
What we buildA copilot over current policies, with cited answers and controlled tone.
Fewer back-and-forths with finance over policy questions.
Every audit triggers weeks of evidence hunting across folders and inboxes.
What we buildAn agent that locates, groups, and cross-references the requested evidence across your repositories.
Evidence ready in days, with full traceability.
Agents searching for answers while the customer waits, and long cases nobody summarizes.
Agents dig through the knowledge base while the customer waits on the line.
What we buildA copilot connected to the knowledge base and case history, suggesting the answer and its source.
Lower handle time and more first-contact resolution.
The base exists, but keyword search fails whenever the article uses different terminology than the customer.
What we buildSemantic search with drafted answers and a link to the original article.
More self-service and fewer repeat tickets.
Cases with dozens of messages get transferred without context, and the customer retells their story.
What we buildA structured case summary on every escalation or transfer, visible to the next agent.
Handoffs with zero context loss.
Escalations land with the wrong team and bounce before reaching the right hands.
What we buildCase classification by topic, severity, and account, with routing and priority proposals.
Fewer bounces and faster response on critical cases.
Thousands of survey and ticket comments get read by sampling, if at all.
What we buildThematic clustering of comments with trends and cited representative examples.
Emerging themes visible every week.
Fast legal answers without giving up verifiable sources or access control.
Teams ask the same questions every week because policies are long and hard to consult.
What we buildA copilot over approved policies with cited answers and role-based access.
Fewer repeat questions to the legal team.
Locating one specific clause across hundreds of contracts takes days of manual review.
What we buildClause extraction and indexing, linked to the exact paragraph in each contract.
Clause search in seconds, with evidence.
Answering a regulatory question means cross-referencing statutes, criteria, and internal documents.
What we buildAn assistant that answers with the statute and internal document cited, flagging what needs legal judgment.
First answer the same day, with a verifiable source.
Human review decisions end up buried in inboxes, with no evidence of who approved what.
What we buildA structured log of decisions, approvers, and rationale, tied to each document.
Complete traceability for internal audit.
Without a clear flow, human review of AI-generated content depends on goodwill.
What we buildApproval flows by content type, with risk thresholds and mandatory review.
Zero sensitive content published unreviewed.
Repetitive employee support and training programs that don't scale.
HR answers the same questions about benefits, vacation, and procedures every week.
What we buildA copilot over HR policies with cited answers and escalation to a person when needed.
Fewer first-level tickets for HR.
Onboarding depends on whoever has time, and every new hire gets a different experience.
What we buildRole-based learning paths with guided progress and completion checks.
Shorter, more consistent time-to-productivity.
Internal requests — letters, certificates, data changes — get processed by hand, one by one.
What we buildAn agent that intake-validates each request and drafts the document for approval.
Requests resolved in hours, not weeks.
Generic AI courses don't connect with each team's daily work.
What we buildA per-role program with exercises on their own processes and adoption measurement.
Adoption measured per team, not per attendance.
The company invests in AI tools without knowing who uses them or for what.
What we buildAn adoption dashboard by team and use case, with value and risk signals.
Investment decisions backed by real usage data.
Sellers researching and drafting instead of selling.
Every proposal is drafted from scratch by recycling old documents, with inconsistent quality.
What we buildDrafts generated from approved templates plus account context, reviewed before sending.
Proposals in hours, with consistent quality.
Reps spend hours researching the company before every call.
What we buildA generated account brief: news, org structure, signals, and conversation angles.
More selling time and better-prepared calls.
The playbook is outdated and every rep improvises their objection handling.
What we buildA living playbook fed by the team's conversations, queryable in the moment.
Consistent objection handling across the team.
The CRM gets filled halfway, and pipeline reports don't reflect reality.
What we buildAn agent that completes and normalizes records from emails and meetings, with human confirmation.
A trustworthy pipeline without CRM chasing.
Pipeline reviews are spent reconstructing the state of every deal.
What we buildA per-deal summary with progress, risks, and next steps, generated from activity.
Pipeline reviews in half the time.
The same controls across all thirty: verifiable sources, role-based access, and human review wherever the risk calls for it.
Next step
In a 30-minute call we identify where you are, what's blocking adoption, and the three use cases most likely to create value in your organization.
Thanks. We'll reach out within one business day to coordinate your diagnostic.
No commitment · Clear agenda · Practical recommendations · Request the playbook