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Case Studies

Real problems, real solutions.

From compliance automation to contract intelligence, see how organizations have turned fragmented workflows into auditable, repeatable systems.

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Compliance Workflow Automation

Financial Services / Legal Tech & Compliance

Delivered

Context

A compliance operations team at a fintech company ran a mature, well-documented process across five disconnected systems: a ticketing tool for change request intake, a project management platform for external submissions, a CRM for complaint tracking, a document storage system, and spreadsheets for issue tracking and reporting. The workflow functioned — but only because one person held the entire process in her head. There was no unified audit trail, no automated reporting, and no structural resilience if that person was unavailable.

Approach

Mapped the full compliance lifecycle across all five systems to identify where data was being manually copied, where linkages were inconsistent, and where audit artifacts had to be reconstructed after the fact rather than generated in real time. Designed a lightweight control layer to sit between the existing tools and the organization’s reporting obligations — connecting intake, review, external submission, and approval tracking without replacing any of the underlying systems. The first deliverable was a unified change record: one view of the full lifecycle from intake to post-launch monitoring, with an automatically generated audit trail.

Outcome

Process went from one person’s institutional knowledge to a system any team member could operate. Compliance workflows became auditable by design rather than by reconstruction. The same pattern was then extended to issue tracking and complaint management.

Multi-Document Contract Validation

ERP / SaaS / Distribution

Delivered

Context

A software company’s contracts team was manually comparing three document types for every new customer transaction: the CRM opportunity record, the order form, and the purchase order. Discrepancies between these documents — mismatched pricing, incorrect quantities, wrong contract terms — were caught inconsistently and required senior review of every contract regardless of complexity.

Approach

Built a hosted validation service that automated the comparison end-to-end. The service accepted the CRM opportunity data and the attached order documents, extracted the relevant fields from each, and ran them against the organization’s existing validation ruleset — including non-obvious rules like monthly-to-annual pricing conversions and line-item status logic for upgrades. Results were written back directly into the existing CRM record, so the contracts team never left their current workflow.

Outcome

Contracts team shifted from reviewing every contract to working exceptions only. Validation coverage extended to both new customer and upgrade/add-on scenarios from day one. The organization’s institutional knowledge about contract rules was codified into a repeatable, auditable system.

Insurance Document Comparison

Insurance

Delivered

Context

A large insurance organization needed to accelerate two distinct but related document-intensive workflows: reviewing redlined contract versions during negotiations, and comparing policy coverage language against submitted claims. Both tasks required a senior analyst to read and cross-reference long, dense documents — work that was accurate but slow, and created bottlenecks during high-volume periods.

Approach

Applied NLP-based document analysis to both workflows. For contract redlines: built a system to identify and surface meaningful changes between document versions, filtering out formatting noise and flagging substantive edits for human review. For coverage/claims comparison: built a pipeline to extract the relevant coverage provisions from policy documents and map them against the specific circumstances described in claims, surfacing coverage applicability and potential gaps.

Outcome

Reduced analyst time on document review by shifting effort from reading to decision-making. High-volume periods no longer created backlogs in either workflow. The organization gained consistency in how documents were reviewed and a structured record of what was compared and flagged.

Contract Intelligence with Gold Standard Versioning

Legal Tech / Contract Management

Delivered

Context

A legal technology company was building a contract review product for enterprise clients who needed to compare incoming contract language against their own approved “gold standard” clauses. The core challenge was not just identifying differences between a proposed clause and the gold standard, but doing so in a way that was version-controlled, auditable, and useful to legal teams who needed to understand why a clause deviated, not just that it did.

Approach

Led product development on the contract intelligence layer, including the Q&A and negotiation review workflows. Designed the gold standard comparison architecture to surface proposed redlines alongside the current clause and the approved baseline, giving reviewers a three-way view. Worked through LLM behavior issues where the model conflated adjacent clause types — identifying these as context and prompt-level issues requiring targeted fixes before client-facing demos.

Outcome

Delivered a functioning negotiation review product with a split-pane interface that legal teams could use to evaluate proposed changes against gold standard language. Established a version-controlled clause comparison workflow that gave enterprise clients an auditable record of what was accepted, rejected, or escalated during contract negotiations.

Regulatory Data Automation — Market Intelligence Pipeline

Telecommunications

Delivered

Context

A Brazilian market intelligence firm produced client reports, due diligence packages, and strategic analyses of the broadband and mobile telecommunications market. Their process required manually downloading regulatory data from the national telecommunications agency, cleaning it, and running calculations through Excel macros. The process was slow, error-prone, and meant clients were receiving analysis built on data that could be weeks or months old.

Approach

Built an automated pipeline to ingest broadband and mobile access data from the regulatory source on a continuous basis, replacing the manual download-and-macro workflow with programmatic processing. The pipeline handled the data cleaning, transformation, and calculation logic that had previously been embedded in spreadsheets, and produced outputs structured for direct use in client deliverables.

Outcome

Eliminated the manual data preparation cycle. Client reports, due diligence packages, and strategic recommendations were built on current data rather than last month’s spreadsheet. Analysis that previously required hours of manual preparation became available on demand.

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