Product · Enterprise Intelligence

The AI Governance Harness for Claude Code.

Your standards. Every Claude Code session. Enforced.

Its flagship: long, autonomous builds designed to stay coherent end to end.

Enterprise Intelligence loads your conventions, security policies, and domain knowledge into Claude Code, and every autonomous build leaves a queryable audit record of what was produced and how.

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In 30 Seconds

Every morning, people across your business explain their work to the AI from scratch.

Every morning, your developers, analysts, managers and executives each explain your business to the AI from scratch: your codebase, your processes, your policies. It does not know your standards, your architecture, or your rules, and it did not remember yesterday. So every hour of AI work costs you an hour of somebody's attention, and you do not have hours of attention to spare.

Enterprise Intelligence gives Claude Code your organization's memory, for development teams, business and management teams, and executive teams alike. Then it does the thing that memory makes possible: you approve a plan, and it goes and builds the work in one long run with nobody sitting over it. That is the flagship.

What You Get

What you get.

Eight things, in the order they start paying off. The first is the flagship: the one your team approves and then walks away from.

  1. Work that gets built while nobody is watching it. You approve the plan. It builds. The build system behind it is patent pending.
  2. Your way of working, written down once and followed everywhere. No more re-explaining.
  3. Guardrails around anything that touches production. You decide what AI can and cannot do.
  4. Your best people's judgment, available to everyone. Not just to whoever asks them.
  5. What one team learns, every team gets. Solve it once.
  6. New hires productive in days, not months. Set up in minutes, with full context.
  7. Your business, management and executive teams get in too. Not just developers.
  8. Your standards never go stale. Change it once, everywhere gets it.

It works the same way for a team of eight and a team of two hundred. The team of eight feels it more, because they have no bench.

"We spent six months writing CLAUDE.md files before we realized the problem was structural, not editorial."

Flagship Capability Build system patent pending

Long builds that don't fall apart.

Enterprise Intelligence builds large, complete work products autonomously, such as a full application or a long-form document, designed to stay coherent from start to finish. Every autonomous build is audited, leaving a queryable record of what was produced and how.

Enterprise Intelligence demo: long-running autonomous build, end to end
Long-running autonomous build, end to end In this video, Enterprise Intelligence builds for Elevate Digital Marketing, a made-up company we set up with a CRM, a brochure site, and a data warehouse. The whole prompt was: “Build a real-time API-based data integration platform for Elevate Digital Marketing with web-based monitoring. Integrate the brochure site, Less Annoying CRM, and Supabase Data Warehouse with bidirectional sync, error handling, and a live dashboard.” It was built with Claude Opus 4.6.

Built by Enterprise Intelligence

Two sentences in. A finished game out.

We gave Enterprise Intelligence two sentences, roughly: "Give me a Windows game where you stack falling blocks. Give it a 1980s Red Scare look." Nobody wrote a spec, drew a mockup or touched the code. It came back with Red Scare Blocks, a finished, playable Windows game. Then we had it port the game to the Mac and add music, and port that music back into the Windows version. You can download both and play them.

Red Scare Blocks title screen
Red Scare Blocks, title screen
Run-reporting pages
Run-reporting pages. Every step was audited as it was built. The Mac port took 10 hours 15 minutes from start to finish, with 7 hours 28 minutes of measured work.

You don't need the latest model. You need the right guardrails and the right harness around the models you already have. The original Windows game was built on Claude Opus 4.8. The Mac port ran on Opus 5 and Sonnet 5. Later still, the music, and the port of that music back to Windows, ran on Opus 5.5 and Sonnet 5.5. The demo video above was made with Opus 4.6, the Opus that was out seven months ago.

The build system inside the Enterprise Intelligence harness is patent pending, not patented.

Download Red Scare Blocks

Download for Windows (70 MB, .zip) Download for Mac, Apple Silicon (54 MB, .zip)

Each zip holds the game and an installer. The installer only puts an icon on your desktop. It installs no libraries, DLLs, or registry entries.

These are demo builds, and they are not signed by Microsoft or Apple, so your system will warn you before it runs them.

Windows: choose "More info", then "Run anyway".

Mac: right-click the app and choose Open, or go to System Settings > Privacy & Security and choose Open Anyway.

See Enterprise Intelligence running on your own work.

Book a 30-Minute Discovery Call

For Business Teams

Prove the idea before you staff it.

Describe an app, watch it build, and hand engineering a working proof. No terminal, no code.

Project workspace, business-user session
Graphical interface over the shared intelligence
Start screen, ready to open a new project
About the desktop app

Non-developer roles work through a dedicated desktop application that wraps the shared context in a graphical interface built for business analysts, project managers, and leadership, so they can query and contribute to it directly without the terminal. It goes to clients as part of an engagement, not as a standalone download. Technical users can also work through the command-line surface.

Evidence

The numbers, and what they do not cover.

How does this improve margins? How fast can we prove it?

Measured, not asserted.

Enforced

Nothing ships without independent sign-off.

These three numbers measure one step: finding the right file before any work can start. Unaided, a Claude Code session searches, opens files that turn out to be wrong, and you pay for every token it spent getting there. That cost repeats on every session your team runs, which is why the saving below is a running one rather than a one-off.

Relevance

2.3×

More of what it retrieves is on-target. 96% vs 42% token-weighted precision, across 32 blind-graded discovery tasks.

Accuracy

84% vs 31%

Opened the right file first, versus unaided search. Across 32 discovery tasks.

What you stop paying for.

~43%

Average tokens saved per file-discovery operation, measured in the aggregate across 21 tasks.

Prove it in two weeks

We can stand up a proof of concept in roughly two weeks that lets one of your teams generate code or documents that follow their own standards. It is deliberately narrow: no data remediation, no enforcement layer, one team producing standards-aligned work before you commit to a broader rollout. It assumes your internal IT team is available and engaged.

Governance you can show

Standards are enforced, not suggested. Sensitive operations are gated, secrets are referenced by name, and Enterprise Intelligence keeps itself up to date. When an auditor, insurer, or client asks how an AI-assisted output was produced, the governance is encoded and enforced rather than living in a policy PDF.

Organizations using Claude Code in production:

SalesforceMicrosoftAccentureCognizantEpicNYSEUberNetflixSpotifySnowflake

These organizations are reported to use Anthropic's Claude Code per the linked sources. They are not Encephalon customers and have not endorsed Encephalon. All marks belong to their respective owners.

Next Step

See it running on your own work.

A 30-minute discovery call with the founding team. A technical conversation between practitioners, not a sales pitch.

No sales pitch. Just a technical conversation. Live demos available.

Not ready for a call? Send a note.

Trigger signals

Business teams: AI already drafting policy or regulatory language with no governance, long documents that drift and contradict themselves, standards that live in individual heads.

Engineering orgs: 20+ people using Claude Code, patterns diverging with no enforcement, autonomous runs falling apart on anything large, compliance with no visibility into AI output.

Sign-off-bound firms: AI touching billable or sign-off-bound deliverables, no structured record of how AI-assisted outputs were produced, client or insurer questions about AI controls.

Where this shows up: engineering and construction firms, utilities, healthcare, financial services, and any team whose deliverables carry a professional seal or a regulatory filing.

Not sure which one you need? Start here.

Full engagement detail on the services page

See where Enterprise Intelligence sits among enterprise AI governance tools

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