Intelligence Infrastructure

Your company already
knows more than it thinks.

We make it usable. Pre-built Intelligence Tracks™ read every system you own — CRM, files, accounting, market data — and deliver cited intelligence in your voice. Deployed in your cloud.

Human-in-the-loop Full provenance Zero black box

Pre-built. Domain-keyed. Plug and play.

Like Shopify templates, but for cross-functional intelligence. Pick a Track. Connect your systems. Intelligence starts flowing.

Marketing

CRM + file store + foot traffic. Generates campaign briefs, market positioning, competitive analysis. Reads Salesforce, Box, Placer.

Lease executed in Salesforce → narrative arc surfaced

VFS 88–92See it run →
Operations

Service platform + accounting + mapping. Routes technicians, flags margin leaks, optimizes scheduling. Reads ServiceTitan, QuickBooks, Maps.

Job completed in ServiceTitan → margin analysis + routing optimization

VFS 86–90See it run →
Finance

PMS + benchmarks + documents. Revenue optimization, comp-set analysis, yield management. Reads Opera PMS, STR, Drive.

Night audit closes in PMS → comp-set yield brief generated

VFS 84–89SOX-aware output formattingSee it run →
Merchandising

E-commerce + documents + foot traffic. Inventory intelligence, margin optimization, seasonal planning. Reads Shopify, Google Drive, Placer.

SKU velocity drops below threshold → restock brief with margin analysis

VFS 85–90See it run →
Internal Comms

CRM + project management + documents. Team alignment, client reporting, knowledge synthesis. Reads HubSpot, Notion, Drive.

Weekly sync completed → cross-team alignment brief with cited sources

VFS 87–91See it run →
Civic

GIS + 311 + legislative + ERP. Bilingual municipal intelligence, infrastructure prioritization, citizen comms. Reads ESRI, Open311, Granicus, SAP.

311 ticket threshold hit → bilingual infrastructure brief for council

VFS 82–88Bilingual EN/ES outputSee it run →

9 layers. Zero black boxes.

Every output traces back to source data through every layer. Nothing is hidden.

Every Track ends with a human.

Every claim cites its source.

We keep the insight. We don’t warehouse the data.

Watch your company think.

Koheriant reads every system you connect — CRM, file store, accounting, market data — runs nine layers of verification, and delivers cited intelligence with full provenance. No prompts. No configuration. No black box.

KOHERIANT DASHBOARD
Connected Sources
Salesforce
Box
Market Data (RAG)
Processing Pipeline
Cabinet of Rivals
Model 1Generate
Model 2Fact-check
Model 3Voice
Model 4Recency
Insight Output
Initializing intelligence…
Intelligence Yield

Simulated scenarios across six industry configurations.

82–89

Voice Fidelity Score in production testing. Not a prompt match. A latent-space fingerprint measured against blind raters.

12%

Cabinet disagreement rate. When models disagree, outputs are flagged. Never buried. Human reviews the conflict.

Auto

Data eviction. Policy-driven temporal governance. Your data has a shelf life and the system enforces it.

The Deployment Gap
McKinsey · State of AI 2025
88%

of enterprises have adopted AI. Only 6% are capturing value at scale. The rest are stuck in pilot purgatory.

Ataccama · Data Trust Report 2025
3%

of enterprises have deployed AI at scale across the organization — despite 99% running pilots. Deployment, not experimentation, is the bottleneck.

Integrate.io · Enterprise Data 2026
$7.8M

lost per organization annually to data silos. Employees waste 12 hours/week searching disconnected systems for answers that should be automatic.

IDC · Data & AI Impact 2025
10.3x

ROI achieved by companies with strong data integration vs. 3.7x for those without. The infrastructure layer is the multiplier, not the model.

Koheriant Projection · Chassis Model
40hrs

of manual cross-system analysis replaced per engagement. 9-layer automation reading what your team reads — without the context loss between handoffs.

Koheriant Projection · Cabinet Overhead
1.4–1.8x

cost overhead for multi-model verification. Four models deliberate on every output. Not 5x the cost — because token budgets are managed at the convergence layer.

McKinsey · High Performers 2025
3x

productivity gains by organizations that redesign workflows around AI vs. those that bolt it onto existing processes. Koheriant is the redesign.

Koheriant Projection · Channel Partners
6

industries modeled on the chassis architecture. Domain-specific convergence rules designed for CRE, home services, e-commerce, B2B SaaS, healthcare logistics, and financial services.

McKinsey · State of AI 2025
88%

of enterprises have adopted AI. Only 6% are capturing value at scale. The rest are stuck in pilot purgatory.

Ataccama · Data Trust Report 2025
3%

of enterprises have deployed AI at scale across the organization — despite 99% running pilots. Deployment, not experimentation, is the bottleneck.

Integrate.io · Enterprise Data 2026
$7.8M

lost per organization annually to data silos. Employees waste 12 hours/week searching disconnected systems for answers that should be automatic.

IDC · Data & AI Impact 2025
10.3x

ROI achieved by companies with strong data integration vs. 3.7x for those without. The infrastructure layer is the multiplier, not the model.

From your systems to your dashboard. Every step traced.

Koheriant Chassis Architecture — 9-layer intelligence pipeline Data flows from source systems through Connect, Temporal DB, Converge, Cabinet of Rivals, and Voice layers to produce domain-specific outputs with provenance chain tracking. SOURCE CRM SOURCE File Store SOURCE Accounting SOURCE Market Data ··· /0.1–0.2 CONNECT Adaptive connectors Event-driven ingest rate-managed multi-auth raw_objects /0.3 TEMPORAL DB Time-indexed store Policy-based retention ttl: domain-scoped governance: built-in indexed /0.4–0.5 CONVERGE Domain-specific rules Budget-managed allocation Cross-source pattern ID budget: dynamic per-track weighting: source_priority /0.6 RAG External enrichment domain-specific context converged /0.7 CABINET OF RIVALS Model A → generate Model B → verify Model C → voice-match N models, distinct roles multi-model deliberation disagreement → flag FLAGGED human review verified /0.8 VOICE Brand fingerprint Fidelity scoring output: sounds like you capture: your voice, once /0.9 OUTPUT Marketing /0.9 OUTPUT Operations /0.9 OUTPUT Finance /0.9 OUTPUT Civic PROVENANCE CHAIN — EVERY OUTPUT TRACES TO SOURCE TRUST ARCHITECTURE provenance + verification + voice scored at every layer chassis: 9 layers verification: multi-model connectors: extensible adapter framework governance: policy-driven deployment: your cloud

We built it because we needed it.

Same wall, every engagement: 6–12 systems, 40+ hours of synthesis, then a deck nobody trusted. We got tired of being the system.

So we built the chassis to do our own job faster. Then something shifted — clients stopped asking for the report. They asked for the system that wrote it.

First deployment: commercial real estate, live on the 9-layer chassis before Koheriant™ had a name or a website. The architecture is industry-agnostic by design. The first client proved the chassis travels.

If your team is running pilots that won’t scale, briefings buried in Slack archaeology, or dashboards that don’t agree with each other — you need this. We built it because we needed it. Now you do too.

Founder

James Andrew Smith

Architect & Principal

Oxford MBA. Built Koheriant as internal tooling inside Bureau St. James. The chassis came from needing to read 6–12 enterprise systems per engagement and deliver intelligence with provenance — faster than any team could do manually.

Your data stays where it belongs.
With you.

Embed Koheriant. Keep the relationship.

For ERP sellers, systems integrators, and platform partners. Deploy intelligence infrastructure under your own brand — without rebuilding the chassis.

Partner with Koheriant →

A Bureau St. James infrastructure product.

Built on peer-reviewed foundations.

Paper
Cabinet-of-Experts: Adversarial Model Checking for Factual Outputs
NeurIPS · 2024
Industry
Human-in-the-Loop AI: Trust Architecture for Regulated Industries
Deloitte · 2025
Paper
RAG-Augmented Decision Systems with Provenance Tracking
Google Research · 2025
Report
API Cost Optimization in Multi-Model Architectures
a16z · 2025
Paper
Cross-Functional Intelligence: Breaking the Dashboard Silo
Stanford HAI · 2024
Industry
Widget-Based AI: The Template Marketplace Model
Gartner · 2025
Paper
Latent-Space Voice Matching for Brand-Consistent AI Outputs
AAAI · 2025
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Intelligence infrastructure is here.

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