For the CIO
Maximize business value from technology — by giving Sales, Marketing, Finance and Supply Chain one trusted, governed source of intelligence.
IDCOM.ai standardizes your KPIs and definitions once, unifies data from the systems you already run, and hands every team the intelligence to act on it — with per-tenant keys, double-enforced tenant isolation and PII pseudonymization, so your security review signs off too.
The data orchestrator
Your real internal clients are the other departments — Sales, Marketing, Finance, Supply Chain — all waiting on trusted, governed, accessible intelligence to make the next decision. That is the mandate IDCOM.ai is built to serve. Here it is, function by function.
One canonical data model with validation on every load, and KPIs, definitions and business rules standardized once — so every department reads the same trusted numbers, self-service, without a ticket.
Move the organization from data-driven to intelligence-driven — a platform your teams open every morning to decide and act, not a multi-year replatforming project.
Sits across your systems of record — reads sales, customer, product, cost, promo and field data and unifies it on one model. Direct ERP and CRM connectors are on the roadmap; file-based ingestion is what runs today.
The intelligence layer that ties commercial decisions to corporate strategy. Activate modules as the business justifies them — no rip-and-replace, no second version of the truth.
One semantic model — standardized KPIs, definitions and business rules — plus AI governance: curated read-only tools, whitelisted and clamped parameters, and entitlement-gated access per module.
A governed, production-grade path to adopt AI across the commercial org: an assistant on every module, running on your own key, with no data exposure — not a shadow-IT experiment.
AWS-native and serverless — no servers to run. Deployed inside your own isolated tenant, with idempotent workers, a dead-letter queue and a scheduled sweeper, so nothing disappears silently.
Per-tenant AI keys with no shared pool, PII pseudonymization before anything reaches the model, tenant isolation enforced twice, encryption in transit and at rest, and audit logging.
Modular subscriptions — activate only what the business needs — and per-tenant AI keys, so model spend is metered on your own account rather than a shared platform markup.
What you'll be asked
Half come from the departments you serve, half from the review that has to approve it. IDCOM.ai is designed to answer both — the architecture built around them first, the features second.
How it's built
Standardized data, governed AI and true isolation are not settings you switch on after the pilot — they are how the platform is built. Every claim below points at the module that carries it.
An ingestion wizard maps your existing ERP, CRM, POS and distributor exports onto one canonical schema, with validation on every load — your column names don't need to match ours. Direct ERP and CRM connectors are on the roadmap; file-based ingestion is what runs today.
→ Capability Map
The assistant can only call a fixed, whitelisted set of read-only metric endpoints — never arbitrary queries or raw-row dumps. Parameters are whitelisted and clamped, responses are capped, and page context is passed to the model as data, never as instructions.
→ Ask AI
The Excellence Center captures institutional knowledge as courses, quizzes, certifications and a best-practice library — so hard-won expertise outlives the people who built it.
→ Excellence Center
Customer and salesperson names are pseudonymized into deterministic codes before anything leaves for the model, and re-hydrated only in the browser at render. Each tenant runs on its own Anthropic key — there is no shared platform fallback, and your data is never used to train a model.
→ Ask AI · Data Security
Tenant identity is derived from the signed-in session server-side, and the backend re-derives it and rejects any mismatch. The model never controls which tenant it reads. Dedicated S3 prefixes, DynamoDB partition keys, IAM scoping and Cognito groups per tenant.
→ Data Security
AWS-native and serverless — Lambda, S3, DynamoDB, Cognito. Async workers are idempotent with retries, a dead-letter queue captures permanent failures, and a scheduled sweeper recovers stuck jobs, so nothing disappears silently.
→ Data Security
Request a demo and we'll walk you through the modules with sample data shaped like yours.
Request a demo