We design the structural layer beneath your tools — so your team thinks more clearly, communicates with precision, and keeps sensitive data where it belongs. Delivered in days, not quarters.
Focus
Private AI systems
Approach
Fixed-scope, agent-native delivery
Start at
$3,500 audit
Outputs are inconsistent, ungoverned, and impossible to audit when work moves between people.
Staff paste confidential work into public AI tools. You have no record of what went out, or who sent it.
When they leave, the organisation loses continuity. The same mistakes get made. The same questions get asked.
You don't need more AI tools. You need clearer systems for the ones you already have.
Three examples of private AI architecture in practice.
Designed and deployed a private AI workspace with full decision logging and custody chains for a civic institution managing $2B+ in assets.
Designed a private AI workspace with decision logging, role-based access, and full custody chains for infrastructure decisions.
Built a structured prompt library and private AI workspace with provenance tracking, enabling 40+ researchers to collaborate without losing attribution.
Built a structured prompt library and RAG-based retrieval system so 40+ researchers could share findings without losing attribution.
The Clarity Audit revealed decision bottlenecks we didn't know existed. Within 3 months, we reduced approval cycles by 60%.
Chief Operating Officer
Research Institution
Sectors We Serve
Every engagement follows the same structure. No black boxes. No surprises.
We map how knowledge moves through your organisation: document flows, decision processes, tool fragmentation, and areas of cognitive overload.
We specify the future system architecture: workflow structures, prompt architecture, information hierarchies, governance logic, and tooling integrations.
We implement private AI environments, structured prompt libraries, automated document pipelines, and decision logging frameworks into your operational stack.
We refine prompts, workflows, and governance over time. Systems stay accurate, relevant, and maintainable as your organisation evolves.
We map how knowledge moves through your organisation: document flows, decision processes, tool fragmentation, and areas of cognitive overload.
We specify the future system architecture: workflow structures, prompt architecture, information hierarchies, governance logic, and tooling integrations.
We implement private AI environments, structured prompt libraries, automated document pipelines, and decision logging frameworks into your operational stack.
We refine prompts, workflows, and governance over time. Systems stay accurate, relevant, and maintainable as your organisation evolves.
Typical engagement: 1 week for an audit, 2–4 weeks for builds, ongoing for retainers.
$3,500
A structured review of how documents, decisions, and AI prompts move through your team. You get a map of leaks, risks, and quick wins.
$5,000–$7,500
We design a reusable prompt library and agent protocol tailored to your work. Built for consistency, quality control, and team onboarding.
$8,000–$12,000
End-to-end installation of a private AI system on your infrastructure. Includes model selection, vector store setup, interface configuration, and training.
$2,500/mo
Continuous improvement and support. We monitor performance, refine prompts, add capabilities, and keep your system aligned with changing work.
$3,500
A structured review of how documents, decisions, and AI prompts move through your team. You get a map of leaks, risks, and quick wins.
$5,000–$7,500
We design a reusable prompt library and agent protocol tailored to your work. Built for consistency, quality control, and team onboarding.
$8,000–$12,000
End-to-end installation of a private AI system on your infrastructure. Includes model selection, vector store setup, interface configuration, and training.
$2,500/mo
Continuous improvement and support. We monitor performance, refine prompts, add capabilities, and keep your system aligned with changing work.
We design private AI systems for document-driven organisations. Our work is built on four principles:
Systems should reduce cognitive load and ambiguity, not introduce unnecessary technical complication.
→ People actually use what we build.
Technology supports judgement, interpretation, and expertise rather than overriding them.
→ AI extends your team, it doesn't replace them.
Knowledge systems operate with controlled data exposure and appropriate confidentiality boundaries.
→ Sensitive documents never leave your control.
Language is infrastructure. Terminology, tone, structure, and definitions are intentionally designed.
→ Everyone speaks the same organisational language.
Structural clarity in practice
Book a free 15-minute qualification call. We'll confirm fit, answer questions, and recommend the right starting point.
What happens next
Book a 15-minute qualification call. We'll confirm fit and recommend the right starting point.
If qualified, we send the pre-work questionnaire and schedule your AI Workflow Audit kickoff.
Audit delivered: document flow map, AI readiness scorecard, and prioritised recommendation report.