Real work, inside your own tenancy.
Manufacturers, franchisors, law firms, agencies and lenders use FlatClaw to answer the phone, consolidate the books, gate the risky send, and read the drawings, with the model, the data and the audit trail inside infrastructure they own. Each spotlight is one of those workflows: the situation, what was built, and what changed. Organizations are described, not named, and the figures are rounded so they stay that way.
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Showing 6 of 6 spotlights
Multi-brand industrial manufacturer
- Use Case
- Consolidation, forecast and pricing intelligence across four ERPs
- Results
- One governed lakehouse behind an AI agent: audit-grade consolidated financials that trace to the source transaction, forecast and pipeline by business unit, large-job margin watch, and plain-English inquiry over all of it, inside the company's own Azure tenant.
Regulated outbound contact center
- Use Case
- Compliant voicemail lane beside the existing dialer
- Results
- A voicemail lane leaves a message specific to each account, in a consented agent voice, at a volume no floor can match, and shares one attempt ledger with the dialer so contact limits stay enforced in one place.
Security certification body
- Use Case
- CRM contact database refresh
- Results
- Roughly one hundred thousand contacts validated, deduplicated and enriched through a tiered waterfall of trust. Every changed value carries a source and a confidence tier, and a re-run kit stays with the customer.
European logistics group
- Use Case
- Quote control tower over forwarding systems
- Results
- Quotes that track fuel prices, routing and political risk across the group's forwarding systems, assembled by agents over the company's own data lake and handed to the desk with the reasoning attached.
Sleep-therapy provider
- Use Case
- Natural-language clinical reports
- Results
- Clinicians ask for patient cohorts in plain English and a constrained pipeline turns the question into validated filters, never free-form database queries, on a private GPU that costs a fraction of the hosted model it replaced.
Data-center construction group
- Use Case
- Drawing takeoff and ROM estimating for hyperscale data-center bids
- Results
- From four issue-for-construction drawing sets, 190 sheets, agents itemized 1,045 units across 36 equipment families, matched the estimators' own counts on the big-ticket lines (88 chillers, 216 computer-room air handlers, 36 pumps), and surfaced a 161-versus-280 fan-wall-unit spread between drawings and proposal for adjudication. Hours, not the weeks a manual count takes.
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