Know-How AI

AI that runs inside your company.

We design and implement how your organization captures, governs, and applies institutional knowledge — so AI works inside your tools, workflows, and standards.

What we do

Complete AI System

Source Craft builds end-to-end AI inside your organization — not isolated chat tools, but a connected system across tooling, knowledge, engineering, and how work actually flows.

Tooling

Connected systems

We connect AI to the systems your teams already use: governed agents, orchestrated workflows, and permissioned integrations — so capability scales without losing control.

Knowledge

Governed expertise

We structure what your company knows: policies, playbooks, documentation, and domain expertise in a form AI can use reliably — with privacy tiers your Legal team can defend.

Workflow

Production ownership

We map how work moves through departments, where human judgment belongs, and where automation earns its place — then ship it to production with clear ownership.

Engineering

AI-ready software

Your internal systems decide what AI can touch. We make them integration-ready: permissioned APIs, layered architecture, and senior engineering for new builds.

The result: utilize AI at a depth most organizations never reach — with a system that learns from every engagement, improves its playbooks over time, and gives leadership a clear view of what is running, what shipped, and what needs attention.

The system

Layers

One integrated stack — from tooling to engineering.

Tooling

Connected systems, governed agents, and permissioned integrations your teams already use.

Knowledge

Policies, playbooks, and expertise — structured so AI can use it, with privacy tiers Legal can defend.

Workflow

How work moves, where humans decide, and what ships to production with clear ownership.

Engineering

Integration-ready software, APIs, and custom builds — extended in pieces or from scratch.

Programs

Which program fits your situation?

Seven entry points. One integrated path. Pick where you are stuck — we build from there.

Full journey

AI Foundation Program

AI is chaotic org-wide — no owner, no policy, no production wins, board is asking questions.

It solves

Ungoverned scattered AI. Shadow audit, governance pack, one department to production, then a scale playbook.

Difference

The complete top-down path. Everything else is a door into this — funded phase by phase.

Diagnostic

Process Gap Audit

You bought Copilot or ChatGPT and productivity stayed flat. Teams blame the tool.

It solves

The process is the bottleneck. We shadow workflows and hand you a ranked fix list — where AI helps vs where the process itself is broken.

Difference

Diagnoses how work actually moves — handoffs, duplicate data entry, and email-driven work. Not a knowledge or security audit.

Diagnostic

KB Intelligence Audit

People ask AI about your company and get generic answers. Knowledge lives in a dozen places.

It solves

We test real employee questions against what you have today and design the fix — including private, on-premise options.

Difference

What AI can know about your company — and why it still gives generic answers. Maps your knowledge and why AI cannot find it.

Legal-first

Secure AI Architecture

Legal or security blocked cloud AI. Shadow usage continues. Nobody owns the architecture.

It solves

Local models, clear data boundaries, usage governance — a system Legal can defend and engineering can maintain.

Difference

Starts from risk, not productivity. Makes AI permissible first — then useful.

Opus · product

Opus Implementation

You need a private knowledge platform — not another chatbot. Legal requires on-prem or strict data control.

It solves

Licensed Opus on your infrastructure: ingest, access control, local AI, training. Your data stays yours.

Difference

The knowledge layer. Often follows KB Audit or sits inside Foundation Phase 3. Product + implementation.

Platform · reporting

Next-level AI

AI work is happening but leadership cannot see it. No dept rollups, no throughput view, no exec reporting.

It solves

Org-wide AI operations: department map, live activity, session history, manager rollups, executive digests.

Difference

The visibility layer. Where execs and managers actually watch orchestration happen.

Engineering

AI-Ready Engineering

You run internal software, ERPs, or custom systems — and AI stalls because none of it can connect.

It solves

Integration-readiness audit, permissioned API layers, layered architecture — and custom development where the gap is real.

Difference

Engineering before AI. Extend in focused pieces, split monoliths into layers, or build new systems from scratch.

What each engagement actually includes — from start to finish.

What the engagement covers Process Gap Next-level KB Audit Opus Secure AI Engineering Foundation
Shadow AI audit and process mapping··
Workflow redesign and automation·····
Org-wide AI operations and visibility·····
AI orchestration model and playbooks·····
Knowledge base structuring and findability····
Licensed Opus on your infrastructure·····
Local models and data boundaries····
Legal and security architecture·····
Internal software and ERP integration readiness·····
Permissioned APIs for internal tools and prototypes·····
Layered architecture AI can extend + custom development·····
Documentation and training··
Governance pack and playbooks······
Department to production rollout······

The stack

Product stack

Orchestration, knowledge, visibility, and engineering — built to work as one system.

01

Operating model

AI Orchestration

How work flows: priority, domain ownership, versioned playbooks, and human approval where it matters.

02

Knowledge

Opus

Institutional memory on your infrastructure — docs, policies, and context AI can use, with privacy tiers Legal can sign off on.

03

Visibility

Next-level AI

Org-wide command layer: department hierarchy, live activity, manager rollups, and executive digests.

04

Engineering

AI-Ready Engineering

Integration-ready architecture, permissioned APIs, and custom development — in pieces or from scratch.

Quick guide

Which sounds like

YOU?

Contact

Start a conversation.

Tell us where you are stuck. We will map the right entry point.