Atwood — Designing intelligence for humans

Outsourced AI leadership

Think of us as your Chief AI Officer — and the team behind one.

Strategy, governance, the architecture, the build, and the people to run it: the outcomes of a whole AI department, without the hire. You set the mission; we’re the AI function — fractional, governed, and accountable.

Outcomes over headcount →

Who we serve · regulated organizations

Associations & non-profitsmembership · foundations · grants Finance & accountingbanking · lending · close Legal & compliancecontracts · risk · NDAs Civil & geospatialtransport · infrastructure · mapping Buildings & IoTaccess · security · sensors HR & operationsonboarding · reporting · process

What we do

We advise, build, and support your AI.

One partner across the whole lifecycle — so a regulated organization without an AI team gets strategy, a working system, and someone to run it.

01

Advisory

We advise you like a Chief AI Officer — strategy, roadmap, governance, and what’s worth building.

02

Implementation

We make it real — research, design, build, and deploy into your real systems, data, and devices.

03

Support

We operate, monitor, and improve it as a managed service — governed and accountable.

Across research, design, compliance, big data, and IoT at scale — six disciplines, end to end.

Capabilities

The pieces we bring.

Behind the service: the agents that do the work, the enablement that brings your team along, and a library of governed skills — all running on Nunc.

How the AI works

Agents

Long-horizon and loop agents that do real work — governed on every turn.

For your team

Enablement

We train your non-technologists to run governed agents, one proven rung at a time.

Governed capabilities

Skill library

Dozens of governed skills — each a plugin into the tools you already run.

Contextual AI · the levers

What turns generic AI into yours.

A model knows the world but nothing about you. Three levers close that gap — and they compound, run after run.

Lever 01

Artifacts

Give it your knowledge. Templates, approved examples, SOPs, and style guides it reuses every run — so output starts from your standards, not a blank page.

Lever 02

Memory

Give it your context. Your terminology, history, and prior decisions, carried across sessions — so it stops re-explaining and starts knowing your organization.

Lever 03

Gated access to your data

Give it your reality — governed. Scoped, audited, PII-stripped access to your real systems, retrieved on demand. Grounded in your actual data, not guesses — and private by default.

Pull all three and you get AI contextualized to your organization — sharper with every run, and harder to replace. The accumulated context is the moat.

Integrations · hosted MCP servers

Built on your stack. Governed across it.

We build on the platforms you trust and connect into the systems you already run — over MCP, REST, A2A, and custom workers. Many of these are proprietary MCP servers we host and govern for you, so there's no integration project on your side.

Hosted MCP servers · proprietary

Connectors we built, host, and govern — so you don't have to.

We run proprietary MCP servers for the business systems regulated teams depend on. Real, governed access to your data — every call authenticated, PII-stripped, and logged through Nunc — with no connector to build or maintain yourself.

Sage Intacct

Salesforce

Bill.com

QuickBooks

NetSuite

Cvent

Workday

Greenhouse

BambooHR

ServiceNow

ADP

Gusto

AI & cloud platforms we build on

Anthropic · Claude

OpenAI

Cloudflare

AWS

Microsoft Azure

Data & warehouses

Snowflake

Databricks

BigQuery

PostGIS

Civil, geospatial & mobility

ESRI ArcGIS

Mapbox

StreetLight Data

Geotab

TomTom

HERE

OpenStreetMap

Kepler.gl

Productivity & content

Microsoft 365

Slack

Box

Egnyte

Gmail

Outlook

Buildings, energy & IoT

AWS IoT

Azure IoT

MQTT / edge

Grouped by the domains we serve — custom and always expanding, with connectors and stacks chosen to fit your environment. Brand logos identify the systems we integrate; they don't imply endorsement.

A person walking, formed from gold points that appear in sequence

Our process · IBM Design Thinking × ISO 42001

How we design intelligence for humans

Rooted in IBM Enterprise Design Thinking and mapped to ISO 42001 — the AI management system standard. We lead with human-centered design, then move through a Plan-Do-Check-Act lifecycle, so what we build is accountable and auditable by design.

↻ The Loop — Observe → Reflect → Make — runs continuously; phases revisit as we learn.

01

Design Plan · Clause 6 · A.5 Impact assessment

Human-centered design, IBM-style: we frame intent as Hills, embed Sponsor Users from your team, and design for the data — and for when the AI is wrong. Risk is surfaced here, not after.
02

Systems Integration Plan · A.7 Data · A.10 Third parties

We connect and unify the systems, data, and devices already in play — with governed data provenance and access from the start.
03

Implementation Do · Clause 8 · A.6 Life cycle

We engineer, verify, and deploy the system into your real environment — documented and traceable end to end.
04

Optimization Check · Clause 9 · A.6 Monitoring

We monitor it in production and tune — performance, reliability, and fit to the work — with every action logged.
05

Training & Growth Act · Clause 7 · Clause 10 Improvement

We bring your people up to speed and keep improving the system as needs evolve and the standard expects.

We build our own, too

Meet Nunc — our private AI platform

We don’t just consult on AI; we run it. Nunc is our governed, private AI infrastructure — the gateway, approval gates, and audit trail behind the AI we ship. When a build needs to be private and accountable by default, it runs on Nunc.

Private by default Governed every step Full audit trail ISO 42001-aligned

A knowledge graph of many connected data points converging to a single governed hub, then through Nunc to Claude — Every system speaks its own language — CRM, finance, documents, email, databases, devices. Nunc unifies and governs them into one accountable path to Claude.

Explore Nunc →

How to start

Start with a governed pilot. Expand from there.

You don’t have to bet the company on AI — or hire a team, or buy a platform you’ll have to assemble yourself. Start with one workflow: fixed scope, fixed price, governed end to end. Prove it, then expand as trust compounds.

Pilot → department system → operate & expand. Not a platform to assemble. Not a hire to manage. A running system, operated — and yours.

See the offer ladder → Calculate your ROI →

Designing intelligence for humans.