Turn Your Database into a Auditable, Governed API Layer for AI

DreamFactory becomes your on‑prem “data layer” that connects your existing data to any AI, analytics, or front-end system.

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Chosen by teams in finance, manufacturing, public sector, and healthcare.

Why AI stalls in the enterprise – and how to break through

Enterprises don’t stall on models; they stall on data access and control.

  • Data stays put

    Reduce exposure and duplication. Keep systems of record intact while letting AI acton them responsibly.

  • Governance travels with every request

    The rules you already live by follow every question and action—so progress doesn’t come at the cost of control.

  • Time‑to‑impact in days, not quarters

    Build on what you have. No re‑platforming. Deliver a first use case fast, then expand with confidence.

DreamFactory breaks through by becoming a secure, on-prem data plane that lets AI query governed, live data where it sits—cutting the plumbing work and compliance friction that stop most pilots.

Bring intelligence to your data—don’t push data to intelligence

A safer way to get real work from AI: requests pass through the guardrails you set, and every action is accountable.

  • Start where you are

    Your databases, files, and legacy systems remain the single source of truth

  • Wrap, don’t rip

    DreamFactory becomes a policy‑aware gateway that lets AI “ask” for what it needs—within the boundaries you set.

  • One consistent port for many assistants

    Model Context Protocol (MCP) gives teams a common way to let different AIs safely do real jobs without bespoke integrations each time.

  • Control that compounds

    Every new use case inherits your guardrails automatically, so velocity increases while risk stays bounded.

What “good” looks like for each team

  • Security & Compliance

    Reduce blast radius and satisfy auditors.

    Every AI action is bounded by your policies and leaves a trail. Visibility without another shadow system.

  • Data & Analytics

    Deliver trustworthy answers on live data.

    Stop exporting and syncing. Ask questions at the source and keep definitions consistent.

  • Application & Platform

    Ship useful AI faster, with less rework.

    Build a single, reusable “port” to enterprise context. New assistants plug in and work on day one.

  • Executives

    Real outcomes without governance debt.

    Stand up your first AI use case this quarter. Scale control and value in lockstep.

Start where impact is visible

  • Close the books faster

    Let finance ask precise questions of live systems—with controls that satisfy audit.

  • Resolve ops bottlenecks in real time

    Give operations a safe way to query inventory, suppliers, and production status in one place.

  • Accelerate customer answers

    Equip support with instant context across systems—without new data copies.

  • Modernize safely

    Layer AI on legacy systems now and modernize on your schedule, not AI’s.

Progress without the stomach ache

A clean alternative to direct database access for AI: containment by design, no new data silos, and full accountability.

What “good” looks like for each team

  • Build once, reuse everywhere

    A single, reliable “port” to enterprise contextfor many assistants.

  • Swap models without re‑wiring

    Keep the plumbing steady while models evolve.

  • Humans stay in charge

    Clear rules, measured access, explainable outcomes.

We’ll co‑design your first use case

In 30 minutes we’ll map one high‑value workflow, show how it runs with your data staying put, and leave you with a concrete plan to deliver in days.

You’ll receive: solution sketch • risk/controls map • delivery timeline

Questions, answered

  • We have legacy systems. Is that a blocker?

    It’s a reason to start. You can modernize on your schedule while AI delivers value now.

  • Will this make audits harder?

    The opposite – every AI action can be explained after the fact, which is what auditors need.

  • What if we change models later?

    Your “port” stays the same. Swap models and assistants without rebuilding the plumbing.

  • Do we have to move or copy our data?

    No. The whole point is letting AI work where your data already lives.