Case Studies
Deployment blueprints
We're early — so instead of inflated customer stories, here's exactly how we structure real engagements: the problem, the architecture we deploy, and the outcomes we target. Each blueprint reflects the scoping work we do with partners.
Blueprint 01 · Financial services
Automating invoice-to-ERP reconciliation
The problem
A finance operations team processes thousands of invoices a month across email, a procurement portal, and an ERP. Matching, exception handling, and posting are manual — slow, error-prone, and impossible to audit end to end.
The architecture
- Knowledge layer over procurement policies, vendor master data, and historical resolutions
- Extraction agent validates invoice fields against purchase orders and contract terms
- Workflow engine routes exceptions to approvers with full context attached
- Every action logged; human sign-off required above configurable thresholds
Target outcomes
- Target: automate the majority of straight-through invoice matches
- Exceptions surfaced with reasoning, not just flags
- Complete audit trail from receipt to ERP posting
Blueprint 02 · B2B software
Support intelligence across a fragmented stack
The problem
A support organization answers the same questions repeatedly because knowledge lives in closed tickets, Slack threads, and an outdated wiki. New agents take months to ramp, and escalations climb as products grow.
The architecture
- Unified, permission-aware index across Zendesk, Slack, Confluence, and product docs
- Grounded support agent drafts responses with citations to source material
- Policy guardrails define what the agent may resolve versus escalate
- Resolution data feeds back into the knowledge layer weekly
Target outcomes
- Target: resolve a substantial share of tier-1 tickets without escalation
- Faster new-agent ramp through cited, searchable institutional knowledge
- Measurable deflection tracked against the team's existing KPIs
Blueprint 03 · Manufacturing
Operational knowledge search for distributed teams
The problem
Plant engineers and field teams lose hours locating procedures, past incident reports, and equipment documentation scattered across shared drives and legacy systems — often falling back on whoever has been there longest.
The architecture
- Ingestion across SharePoint, network drives, and the maintenance system
- Semantic search with citations, filtered by site, equipment, and role
- Access controls mirror existing directory permissions automatically
- Deployed inside the company's own cloud environment
Target outcomes
- Target: sub-second cited answers to operational queries
- Institutional knowledge preserved as senior staff rotate out
- Zero change to existing permission and residency boundaries
Get in touch
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Tell us about your stack and the process that hurts most. We'll map the architecture and target outcomes for your case — before any commitment.