Enterprise AI engineering

Enterprise AI
that works
in production.

We design, build, govern and operate AI systems connected to the platforms your business already runs on: SAP, NetSuite, Salesforce, your identity provider and your data.

Talk to our team See our work

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

Live systems

Evidence

Measured in production,
not in a pilot deck.

Every figure comes from a system running in a client environment, with its source stated. We publish results we can explain.

49.7%

of inbound orders auto-approved by AI validation, with no human touch.

Order validation · Fortune 1000 life sciences manufacturer · 56,090 orders analyzed

~1,858: analyst hours returned to the team each yearOrder validation · same deployment
8–9 mo: payback on about $150K a year in hard savingsOrder validation · stated ROI model
50%: reduction in contract review timeContract intelligence · life sciences, SAP

What we deliver

Five capabilities.
One accountable team.

Most programs draw on several. The same engineers carry the context from the first workshop to the system running in production.

Applied AI & automation

Document, order and contract intelligence, classification and agents, built for production volume.

Fine-tuned models · retrieval · agents · evaluation

AI strategy & AI CoE

Find 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

Forward deployed engineering

Senior engineers embedded with your teams, working in your systems and accountable for shipping.

Embedded teams · your stack · your controls

Enterprise integration

AI connected to systems of record through APIs and middleware, with identity carried end to end.

SAP · NetSuite · Salesforce · AWS · Azure · GCP

AI governance

Policy, approvals, data controls and audit for AI-initiated actions, run through Nucleus.

Policy · approvals · audit · cost

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.

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.

Read the case study

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.

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

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

8–9 mopayback on about $150K a year in hard savings

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.

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.

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.

01IdentityEvery request tied to a person, an AI client and a delegation chain
02PolicyRules evaluated per capability, system and role
03ApprovalsHuman sign-off where the action warrants it
04RoutingThe right model and connector for each request
05Data controlsEgress rules on what leaves, and to which model
06AuditAn append-only, signed record of every decision
07CostSpend attributed by team, client and use case

Explore Nucleus How it works

How we work

We own delivery from strategy to production, and we stay.

One team carries the context from start to finish, and remains accountable for the outcome after launch.

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
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
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
Operate
Stay accountable after launch
Monitoring, evaluation, cost management and steady improvement against the original target.
Named owners, runbooks and measured outcomes

Five ways to engage

Engagement models and pilots

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 a conversation

Let’s put AI to work in your business.

Tell us the process you want to improve and the systems involved. A senior engineer will reply.

Talk to our team

Or begin with a pilot

A tightly scoped first use case, designed to establish measurable value before broader deployment.

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

Discuss a pilot

Enterprise AIthat worksin production.

Measured in production, not in a pilot deck.

Five capabilities.One accountable team.