Verified Outcomes

Solving structural B2B problems.

We respect client confidentiality. These anonymized case studies represent actual workflows we've built for enterprise and SaaS companies, detailing the problem, our role, and the measured outcome.

Anonymized engagement examples visual — Anonymized work, real delivery patterns

US B2B Logistics SaaS

AI Bill of Lading Extraction

Workflow Automation

Problem: 40 hours/week spent manually transcribing freight documents.
Outcome: 92% automated extraction accuracy, reducing manual processing time by 80%.

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AI lead qualification workflow interface

Enterprise Software Company

Automated Lead Qualification

CRM & RevOps

Problem: Sales reps wasting time on unqualified inbound leads.
Outcome: AI agent researches and scores leads via LinkedIn/Clearbit before syncing to HubSpot. 3x increase in demo conversion rate.

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UK Financial Services

Compliance Document Parsing

AI Data Extraction

Problem: Regulatory audits required manual review of 10,000+ contracts.
Outcome: LLM pipeline flags non-compliant clauses in minutes with human-in-the-loop review.

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Methodology

How we deliver reliable AI.

01. Discovery & Measurement

Mapping the bottleneck

02. Proof of Concept

Testing assumptions safely

03. Human-in-the-loop

Designing for failure modes

04. CRM Integration

Connecting to your truth

Tell us what you are trying to improve.

We will share the closest relevant example and recommend a sensible next step.

Discuss your project

Solving structural B2B problems.

AI Bill of Lading Extraction

Automated Lead Qualification

Compliance Document Parsing

How we deliver reliable AI.

01. Discovery & Measurement

02. Proof of Concept

03. Human-in-the-loop

04. CRM Integration

Tell us what you are trying to improve.

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