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Production AI systems with the numbers attached.

Legal intake, HubSpot deduplication, LLM lead qualification, immigration document OCR, SaaS onboarding, and frontier model evaluation. Every case study below includes the failure mode, the architecture, the stack, and the measured outcome.

$400K/moRevenue scaled on rebuilt CRM and intake operations
+45%Lift in qualified conversions with sub-10s routing
94%Reduction in duplicate CRM records across 3 offices
13+Pre-release frontier models stress-tested on 100+ workflows
01

The engagements

Seven production builds and reference architectures across legal, immigration, agency, SaaS, and frontier AI research.

02

Five steps behind every system on this page

A law firm intake and a SaaS onboarding pipeline look different on the surface and run on the exact same five-stage spine underneath.

STEP 01

Capture

Every form, webhook, and portal upload normalizes into one strict data contract.

STEP 02

Validate

Deterministic schema and deduplication checks run before any model is called.

STEP 03

Route

Model classification proposes the score; explicit business rules pick the owner.

STEP 04

Act

CRM records, matters, and tasks write with idempotency keys and human gates.

STEP 05

Log

Every payload, decision reason, and API response writes to an audit trail.

03

Frequently asked

Direct answers on production metrics, timelines, and stack compatibility.

Are these metrics from live production systems?

Yes. Every number on this page comes from a deployed system running on real client intake, CRM pipelines, or evaluation harnesses. If a project failed to move an operational metric, it is not published here.

How long do builds like these take to ship?

Single-workflow systems like speed-to-lead routing or form-to-CRM deduplication ship in two to four weeks. Multi-table document pipelines and custom onboarding agents run six to ten weeks on a fixed scope.

Can you deploy the same architecture in our existing stack?

Yes. These builds run inside the tools your team already uses, including HubSpot, Clio Manage, MyCase, Lawmatics, Airtable, Make.com, and custom REST APIs, with full code and documentation handed over.

Have a similar bottleneck in your operations?

Most engagements start with a free diagnostic. Paste your broken workflow, describe the delay, or share the error and I will tell you what is breaking and how to fix it.

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