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Business teams are building AI agents faster than IT and compliance can govern them — often on personal ChatGPT and Claude accounts, touching data no one is tracking. Agent Governance by Design gives you visibility and control without killing the productivity that drove adoption in the first place.
Built by Data 2 Business · IBM & Snowflake partner · Governance-first delivery
Across mid-market organizations, employees and business units are adopting AI assistants and building agents faster than anyone can govern them. Unlike a chatbot, an agent acts — it chains tasks, calls tools, and touches multiple systems. An ungoverned agent is an unsupervised digital worker.
IT can't say how many agents exist, who owns them, or what data they touch.
Sensitive data flows into external AI tools through personal accounts, outside any enterprise agreement.
Unmonitored AI use can breach record-keeping, supervision, and privacy obligations — even with no data breach.
Agents take real actions in real systems, with no guardrails and no audit trail.
Source: IBM, Cost of a Data Breach Report 2025.
The instinctive fix — ban the tools — reliably fails. Prohibition doesn't stop usage; it pushes it underground, and punishes your most productive people.
Shadow AI exists because it works. People adopted these tools to do their jobs better. Any governance model that takes that capability away — or buries it in approval bureaucracy — meets resistance, quiet non-compliance, and workarounds. So we solve for both sides at once.
Agent inventory, risk-tiered policy, observability, guardrails, and access control — implemented on enterprise-grade technology, with IBM watsonx.governance as our reference platform.
We start from the people who use and build agents today, understand why they went around IT, and co-create the governed path with them — so the compliant way to work is also the better way to work.
Governance that ignores how people actually work doesn't get followed. It gets worked around.
Each phase delivers standalone value and a natural decision point. Most clients start with a fixed-scope, 3-week Risk Snapshot.
A full inventory of the AI tools and agents in use (sanctioned or not), a data-exposure heatmap, an interim AI policy you can deploy immediately, and an executive risk briefing. Discovery, not policing — run under an amnesty framing so people actually disclose what they use.
Your AI agent governance framework — risk tiering, policy set, approval workflows, operating model and roles — co-created with the business through Design Thinking workshops, and piloted with one team before rollout.
The governance and observability platform, implemented and integrated: agent registry, real-time monitoring, guardrails, access controls, dashboards. IBM watsonx.governance as reference stack; adaptable to Microsoft, AWS, Google Cloud, or Snowflake-centric environments.
Change enablement, training, a champions network, and ongoing governance operations — monitoring, policy iteration, and regulator-ready executive reporting.
IBM watsonx.governance is our reference implementation as an IBM partner; the framework itself is vendor-neutral.
D2B is a data, analytics, and AI consultancy grounded in data governance, architecture, and cloud platform delivery — the same disciplines agent governance extends to a new class of assets.
Partners of IBM and Snowflake, with access to enterprise governance technology and joint delivery support.
Our team has delivered BI and cloud data architecture programs for large enterprises in telecommunications and cooperative financial services, in regulated, high-volume environments.
We bring Design Thinking into governance delivery — because the hardest part of controlling AI agents is changing how people work without losing them.
Fast phases, fixed scopes, pragmatic controls — not a multi-year enterprise program.
We know our people are using AI, we don't know where, and we need to get ahead of it before a regulator, a client, or an incident forces the issue.
For CIOs, CISOs, COOs, and compliance and risk leaders at mid-market organizations.
Start with a 45-minute working session with your IT, compliance, and business leadership to scope the Agent Discovery & Risk Snapshot.
Book a Risk SnapshotFixed scope. Fixed fee. No platform commitment required to start.
Tell us where you are — no inventory at all, a policy that nobody follows, or agents already running in production. We'll tell you the shortest path to visibility and control.