Your company’s AI platform — built into your perimeter.

The advantage isn’t access to AI. It’s what your people can build with it. Wide Moat deploys a secure AI platform inside your perimeter, connects it to your systems, and trains your team to build their own agents and apps.

Real AI advantage comes from integration: your data, systems, governance, and teams trained to build with it.

  • 01Same models. Different outcomes.
  • 02Integration turns AI into leverage.
  • 03Every build makes the moat wider.
01

Same models. Different outcomes.

Everyone can access frontier AI. The advantage is what your company builds around it.

02

Integration turns AI into leverage.

Connect your data, systems and workflows. Then train teams to build on them.

03

Every build makes the moat wider.

Each agent, skill and connector becomes reusable company infrastructure.

02Architecture

The platform, end to end.

Everything flows through one gateway — money, security and routing under control. Actors on top, models and connectors below. ★ marks the pieces unique to Wide Moat. Connectors are illustrative — yours are specific to your company. Tap any block to see what it links to.

layer:
Actors
Business users
ops · legal · sales · finance
Technical teams
support → architects · dev · QA · SRE
Agents
autonomous · scheduled · in-process
Interfaces
AI Portal
the entry point for everyone
Chat & messengers
assistants where people already are
Coding agents
in the IDE · most AI traffic
★
Cloud AI Workspace
one-click dev environment
★
Computer Use
disposable AI sandboxes
Analytics
adoption · ROI · daily digest
Gateway + context
LLM Gateway
routing · budgets · guardrails · caching
Context engineering
access-aware · RAG · memory
★
Skills Factory
reusable skills · build once, reuse everywhere
Models
Private models
your GPU · LLM · voice · vision · embeddings
Frontier API
best-in-class via subscription + API
Second frontier
diversification
Regional fallback
jurisdictional · vision
Aggregator
one contract, many models
Connectors
Issue tracker
tasks · incidents · docs
Code & Git
repos · PRs · pipelines
CRM
clients · deals
BI
dashboards · databases
Knowledge DB
vector stores
Search & enrich
web · company data
Authorization
SSO · directory · groups
Observability
alerts · logs
Automation
workflows · webhooks
Doc parsing
PDF → text layers
Memory
graph of people & work
Hover or tap any block to see what it connects to.
single governed gateway unique to Wide Moat open-source core, your connectors
03Gateway control

Stop AI spend from running away.

Teams burn through AI budgets when every tool, model and subscription is managed separately. Wide Moat puts token limits, model routing, subscription usage and quality analytics behind one governed gateway.

01

Token and budget control

Set limits by team, user, workflow or use case. Route simple tasks to cheaper models and reserve premium models for work that needs them.

02

API vs. subscription routing

Route work through API usage, enterprise subscriptions or internal/open-source models depending on cost, quality and policy. Reduce duplicate seats and keep spend under one gateway.

03

Usage and quality analytics

See who uses AI, for what, at what cost and with what quality. Track adoption, token spend, model performance and business impact together.

Lower cost. Less lock-in.

Wide Moat is built around interoperable components and an open-source core. Teams can use the models and tools that fit their work, while the company keeps control of cost, access, observability and vendor dependency.

04The journey

Three phases to a wide moat.

First everyone saves their own hours, ad hoc. Then the company aims that effort at revenue and cost. Then it rebuilds how it operates — so deeply that rivals can’t catch up.

PHASE 1

Individual AI

Personal productivity
PHASE 2

Enterprise AI

Company productivity
PHASE 3

Wide Moat

An advantage rivals can’t reach
Essence
EssenceAI starts as personal leveragehelpful, but fragmented
EssenceWork aligns around business goalsAI starts moving company metrics
EssenceA new business architectureprocesses rebuilt around AI
Business users
Business usersDo today’s work faster & better− time per task, + quality
Business usersCreate new things, ship improvements+ revenue, − cost
Business usersDo what rivals can’tmore value, better price
Technical teams
Technical teamsLess toilcopilots, auto-tests, agents in the SDLC
Technical teamsImprove how you buildfull-cycle AI development
Technical teamsRedesign how work runsnot code — operating architecture
Agents
AgentsAssist peopleon request
AgentsAgents run repeatable workflowsat scale, under control
AgentsAct on signalsnotice, decide, execute, improve
KPI
KPIHours & $ saved · active AI usersweekly cuts
KPIRevenue · time-to-market · cost efficiencyP&L
KPIMarket position · margin · growth ratecompany-level advantage
05Proof

We don’t build the agents. Your people do.

Wide Moat AI gives them the platform, guardrails and training to build safely at company scale.

75%

A real case study from a 2,000-employee financial company — 75% adoption across the organization.

onboarded0employees given the platform
→ adopted0active users ≈ 75% adoption
→ created0agents built by users themselves

“The win wasn’t the model. It was a whole company that knew how to use it.”

06Who it’s for

Built for companies with enough office work to need governed AI — and enough urgency to move.

< 500 office workersearly fit
AI tools can help, but platform infrastructure usually pays off later.
500 – 5,000 office workersBest fitrecommended
The sweet spot: enough knowledge work, systems and security needs for governed AI to move real hours.
5,000+ office workersphased rollout
…
Still a fit — usually best started in one business unit, region or function before scaling.
  • What makes a fit
  • Knowledge-work heavy organizations — where hours live in documents, decisions and workflows.
  • Sensitive data or regulated workflows that need access controls, auditability and clear boundaries.
  • Existing systems to connect — CRM, tickets, BI, knowledge bases, code and internal tools.
  • Leaders who want adoption, not another disconnected pilot.
07Security

It lives in your perimeter.

Your data never leaves

Sensitive paths run on your own models and infrastructure — on-prem or your private cloud.

One governed gateway

Every request is routed, budgeted, rate-limited and logged. Nothing talks to a model on its own.

Access-aware by design

SSO and directory groups flow into every call — people see in AI only what they already can.

Fully observable

Every prompt, cost and action is measured — so adoption and risk are both visible.

Start digging the moat.

A 30-minute demo of the platform, the architecture and how we’d roll it out inside your perimeter.