Enterprise AI engineering

Enterprise AI that works in production.

Diverse Programmers designs, builds, governs and operates AI systems connected to the workflows and platforms your business already runs on: SAP, NetSuite, Salesforce, your identity provider and your data.

Talk to our team See our work

AI clients

Assistants and copilots
Internal agents
Workflow automations

Governed executionNucleus

Identity
Policy
Approval
Data controls
Routing
Audit
Cost

Checked before any AI-initiated action executes.

Systems of record

SAP
NetSuite · Salesforce
Data platforms

Where we work: between the AI your teams use and the systems that run the business.

In production inside a Fortune 1000 SAP environment, across invoice processing, order validation, contract review and customer service.

49.7%

of inbound orders auto-approved by AI validation

Order validation · Fortune 1000 life sciences manufacturer

~1,858

analyst hours returned per year

Order validation · same deployment

8–9 mo

payback on $150K per year in hard savings

Order validation · stated ROI model

50%

reduction in contract review time

Contract intelligence · life sciences, SAP

How we work

From the first use case to a system that runs every day

We stay with the work from strategy through operation, and we remain accountable for it after launch. One team carries the context from start to finish.

01 · Strategy
Find where AI pays
We map processes, volumes and systems, then rank use cases by value and feasibility.
A funded roadmap and an AI CoE operating model
02 · Build
Embed engineers, ship systems
Forward deployed engineers work inside your teams and connect models to SAP, CRM, identity and data.
Production software in your environment, not a demo
03 · Govern
Control every AI action
Identity, policy, approvals, data controls and audit apply before anything executes.
A system your security and audit teams can sign off on
04 · Operate
Stay accountable after launch
Monitoring, evaluation, cost management and steady improvement against the original target.
Named owners, runbooks and measured outcomes

Nucleus

The enterprise control layer for AI.

Nucleus sits between AI clients and your enterprise systems. Before an AI-initiated action executes, it establishes who is asking, applies policy, routes approvals, controls what data leaves, and records the decision and its cost.

Identity: Every request tied to a person, an AI client and a delegation chain
Policy: Rules evaluated per capability, system and role
Approvals: Human sign-off where the action warrants it
Routing: The right model and connector for each request
Data controls: Egress rules on what leaves, and to which model
Audit: An append-only, signed record of every decision
Cost: Spend attributed by team, client and use case

Explore Nucleus How it works

NucleusProductionNo kill switches active

← Requests

get_sales_order on sap-ecc-demoSucceeded

req_4691b1918fb6419d · claude-cowork · csr-pilot · 186 ms · 7 spans

AI clientclaude-cowork

IdentityVerified

PolicyAllowed

ApprovalNot required

SystemSAP enforced

Span0 → 186 msDuration

gateway.receive

4 ms

identity.resolve

18 ms

policy.evaluate

9 ms

shield.scan

22 ms

sap.get_sales_order

112 ms

audit.record

6 ms

finops.meter

3 ms

HMAC chain signature verified

The request trace in the Nucleus console: one AI-initiated SAP read, from client to audit record. SAP still authorizes the call itself, as every downstream system keeps its own authorization and enforcement.

Selected work

Production systems, with results we can explain

Each engagement starts with a process the business already measures, and ends with a system running against it.

System overview

IntakeAPAC supplier invoices, in multiple formats
ExtractFine-tuned document model, chosen after a GCP, Azure and AWS evaluation
PostDirect API into SAP
ReviewSAP-integrated dashboard for finance teams

Replaced a licensed extraction tool. The pipeline is now under full in-house control.

Finance operations

Invoice processing rebuilt on a fine-tuned model with direct SAP integration

Problem: High operational cost from extensive manual verification of invoices.
Environment: Fortune 1000 life sciences company · SAP · APAC accounts payable
Outcome: In production in APAC, with US and EU rollout planned. Higher extraction accuracy than the licensed tool it replaced.

“Their work has been better than other options we have tried and completed for pennies on the dollar.”
Erik Molitor, CIO, Bio-Rad

Read the case study

Annual cost of manual order reviewUSD per year

Before: every order reviewed$299K

After: exceptions only$150K

Uses the case study's stated assumptions: $80 per fully loaded analyst hour and 4 minutes per review. North America deployment.

Fortune 1000 life sciences manufacturer · Order management

AI validation for every inbound order, with analysts kept for the exceptions

Every inbound order was reviewed by hand to avoid shipping restricted or incorrect products. An AI inspection service now auto-approves low-risk orders and routes the rest to analysts with an explanation.

49.7%of orders auto-approved with no human touch

27,876orders a year no longer reviewed by hand, of 56,090 analyzed

~1,858analyst hours a year returned (≈ 0.9 FTE)

Read the case study

Contract term extraction for legal and compliance reviewLegal and compliance50% less contract review time Order matching across sold-to, ship-to and consignee recordsOrder to cash45% less order processing time Case routing and escalation inside SalesforceCustomer service40% less case resolution time

All work

What we do

Five capabilities, usually combined

Most programs draw on several. One team owns how they fit together.

01AI strategy & AI CoEFind the use cases worth funding, build the roadmap, and set up the team and governance to run AI as a program.Use-case portfolio · roadmap · CoE operating model 02Applied AI & automationDocument, order and contract intelligence, classification and agents, built for production volume.Fine-tuned models · retrieval · agents · evaluation 03Forward deployed engineeringSenior engineers embedded with your teams, working in your systems and accountable for shipping.Embedded teams · your stack · your controls 04Enterprise integrationAI connected to systems of record through APIs and middleware, with identity carried end to end.SAP · NetSuite · Salesforce · AWS · Azure · GCP 05AI governancePolicy, approvals, data controls and audit for AI-initiated actions, run through Nucleus.Policy · approvals · audit · cost

How we engage

Most clients start with one model and add others as the program grows.

AI CoE partnership

An ongoing partner to the CIO or CAIO for portfolio, standards and enablement.

Forward deployed teams

Engineers embedded in your organization for a defined mission.

Project delivery

A scoped system, delivered to production against agreed outcomes.

Nucleus platform

The control layer for AI actions, configured for your systems and supported by us.

Operate & optimize

We run, monitor and improve what is in production.

Start with a focused use case.

For qualified organizations, we can begin with a tightly scoped pilot designed to establish measurable value before broader deployment.

Discuss a pilot

A good fit usually has

A defined process with measurable volume
Access to the systems and data involved
An executive sponsor and a named process owner

Let’s put AI to work in your business.

Talk to our team