Service · Workflow discovery

Fix your most expensive workflow in two weeks.

Before writing production code, we embed directly with your operations team to audit your primary friction point. We trace live data flows, calculate true loaded labor costs, and architect a deterministic AI pipeline with a fixed-scope roadmap you own unconditionally.

Workflow audit · week 2

VALIDATED

Underwriting intake & exception queue

Queue Volume

480 cases / wk

Loaded Payroll Cost

$1.45M / yr

Avg Handling Time

38 min / case

Feasibility Yield

~76% (Verified)

Raw schemas mapped across 4 core production systems

Edge-case classification & human review triggers

Model routing: Claude 3.7 + GPT-4o + Local OCR

Fixed 6-week phased deployment roadmap

The Two-Week Diagnostic Methodology

Week one maps the operational reality. Week two architects the automated pipeline.

Real automation cannot be designed from slide decks or high-level summaries. We embed with frontline operators, inspect live edge-case payloads, and test system constraints at the source.

Week 1

Shadow & Map

We observe frontline operators across live shifts. Every manual handoff, spreadsheet workaround, and undocumented exception branch is traced into a clean end-to-end data sequence.

Week 1

Labor Cost Audit

We calculate exact transaction volume, rework rates, handling times, and true fully-loaded labor costs—giving you numbers your finance leadership can verify.

Week 2

Target Architecture

We design the target software system: model routing, vector/SQL retrieval schemas, fallback guardrails, and human-in-the-loop escalation gates.

Week 2

Milestone Roadmap

A fixed-scope, milestone-gated engineering delivery plan with explicit acceptance criteria, security compliance sign-offs, and rollout phases. You own every artifact.

Core Deliverables & Ownership

Four production-ready blueprints. 100% owned by your company.

As-Is & To-Be Map

An exhaustive technical schematic of your operational queue as it truly executes today—including cross-system API latencies, manual touchpoints, and error branches.

Finance-Grade ROI Case

A transparent financial model calculating current queue overhead, automated unit economics, software infrastructure run-costs, and predictable payback timelines.

System Specification

Agents, integrations, security model, and human review gates, specified to build from with zero ambiguity.

Execution Roadmap

Fixed scope, staged rollout, and explicit testing gates. The exact plan you can hold us, or your internal engineers, to.

Strategic Focus

Automating one critical bottleneck creates compounding enterprise leverage.

Most enterprise AI initiatives fail because teams deploy shallow chat copilots that touch everything but master nothing. When engineering is focused deeply on a single high-friction queue, measurable margin gains show up immediately on your P&L.

We remain strictly vendor-agnostic: Claude, OpenAI, DeepSeek, or open-weights based on token economics and payload latency. Once your primary bottleneck is automated, the exact same architectural foundation extends across your adjacent operations.

Where diagnostic audits create the most leverage

Ops · Exception, intake & validation queues

94% Yield

Finance · Monthly close, ledger spreads, AP match

88% Yield

RevOps · Contract compliance & quote-to-cash

82% Yield

Customer Ops · Escalation & dispute triage

76% Yield

Empirical benchmarks measured across live enterprise engagements.

Have an expensive operational bottleneck slowing down your team?

Thirty minutes. We'll evaluate your workflow complexity on the call and tell you upfront whether a two-week diagnostic audit makes economic sense.