Our FY2026-2027 roadmap is focused on one clear ambition: making master data management, data quality and governance faster to adopt, easier to operate, safer to scale and more intelligent by design.
Enterprise data management is entering a new phase.
For years, master data management and data quality have been treated as heavy programmes. Complex to start, difficult to maintain and too dependent on specialist teams. The result is familiar. Valuable initiatives slow down, business users disengage, data teams become overloaded and progress becomes difficult to measure.
CluedIn is moving in a different direction.
Our roadmap is designed around a more guided, intelligent and operational model for data management. One where AI, automation, governance and human expertise work together to help teams understand the state of their data, know what needs attention, take the right action and prove continuous improvement over time.
CluedIn is building the operating system for Agentic Master Data Management: a guided system that helps enterprises move from fragmented, uncertain data to trusted, governed and AI-ready data products.
The roadmap is structured around four connected areas of investment. Together, they are intended to make CluedIn easier to operate at scale, faster to work with day to day and more capable of supporting AI-driven master data management patterns.
Making AI practical inside real data operations, from lookup resolution and deduplication to rule creation, data quality prioritization and guided remediation.
Preparing CluedIn to participate in wider AI and automation ecosystems, including support for safer, clearer and more efficient agent interactions.
Improving the operational backbone of the platform so teams can monitor, troubleshoot, scale and optimize CluedIn with greater confidence.
Strengthening workflows, streams, data contracts, export receipts and write-back patterns so trusted data can be governed, activated and measured downstream.
The next generation of CluedIn agents is being redesigned to make AI more useful, explainable and operational inside real data management workflows.
A richer agent experience designed to make agents easier to configure, monitor and apply across data quality, lookup resolution, deduplication, rules and operational workflows.
Agents will be able to evaluate usefulness, confidence and business value, helping workflows improve over time and reducing unnecessary manual review.
Retrieval-augmented generation and vector-based representations will help agents work with relevant CluedIn context, improving recommendations, semantic matching and resolution workflows.
Most enterprise AI initiatives fail when the underlying data is unclear, inconsistent or poorly governed. CluedIn’s roadmap is focused on making AI useful at the point where data work actually happens: finding issues, understanding context, recommending action and helping teams complete the work safely.
One of the most important roadmap items is the ability for agents to generate Power Fx expressions for CluedIn rules and data operations.
This is not AI as a black box. It is AI helping users create deterministic, inspectable and governable logic. That distinction matters. Enterprise data teams need speed, but they also need control.
CluedIn will introduce an MCP layer designed for agent-to-agent interoperability. The goal is to help MCP-enabled systems understand how to work with CluedIn safely and efficiently.
Agentic data management cannot work without a strong operational foundation. That is why the roadmap also includes major investments in processing, monitoring, observability, storage efficiency and cost optimization.
Improvements to reliability, throughput and operational visibility, supporting larger data volumes, reducing bottlenecks and strengthening recovery from failed processing steps.
A clearer view of active, queued, completed, failed and retried jobs, giving administrators a single place to understand what is running, what is blocked and what needs attention.
Improved observability across services, processing jobs, APIs and infrastructure, helping teams troubleshoot faster and analyze performance with greater confidence.
Continued focus on infrastructure efficiency, workload optimization, smarter processing behavior, improved storage patterns and better visibility into expensive operations.
The roadmap strengthens the way data is governed, prepared and activated downstream. This is critical for enterprises that need master data to support analytics, operations, AI, compliance and business processes beyond the MDM environment itself.
Stronger governance and operational management over data usage, access, movement and lifecycle, supporting enterprise controls around quality, retention, stewardship, compliance and downstream activation.
Improvements to stream mapping and projections, making streams more flexible, predictable and easier to use when preparing data for downstream systems.
Clearer confirmation of what was sent, where it was sent and whether the receiving target accepted or processed the payload.
Modernized workflow capabilities including write back, reverse ETL, custom data sources and custom rules to support more operational activation patterns.
Some of the most time-consuming work in data management happens in the grey areas: ambiguous lookup values, possible duplicates, risky merges, unclear rules and unresolved exceptions. CluedIn’s roadmap brings AI directly into these workflows.
AI-assisted matching and recommendations to suggest likely matches, identify ambiguous values and reduce manual mapping effort.
AI-assisted duplicate review to explain why records are clustered, identify risky merges, recommend next actions and continuously improve outcomes.
A clearer way to understand how rules execute, why outcomes occurred and how rule logic can be improved before it creates problems in production.
The roadmap is grouped into staged releases across 2026 and 2027, with continuous improvements running throughout.
Agents Redesign, Self-Valuing Loop, Processing Pipeline Update, Lower Cost of Running and Performance UI/UX updates.
RAG, vectorisation, MCP, Jobs Monitor, Data Controls, Workflow Engine V3 and the Streams V3 foundation.
Data Quality Metrics, agents writing Power Fx, OpenTelemetry, Blob Storage migration, Streams V3, Export Target receipts, Rule Debugger and write back / reverse ETL.
Lookup AI Resolution, Duplicate Clusters AI Loop, Topology Viewer 2, Custom Rules and Workflow Engine V3 improvements.
Performance UI/UX updates, lower cost of running, agent skills, observability improvements, UX polish and stability fixes.
The roadmap includes confidence levels across planned items, because enterprise customers deserve clarity. Some items are already highly confident. Others remain subject to discovery, customer feedback and engineering validation. That transparency matters, because the goal is not to publish a wishlist. The goal is to show the direction of travel and keep customers close to what we are building.
A clearer way to move from fragmented data and manual governance to measurable, AI-ready data operations that can scale across the enterprise.
More guidance, better prioritization, smarter resolution and less time spent manually interpreting every quality issue, lookup problem or duplicate cluster.
Stronger observability, improved processing foundations, better stream handling, clearer export confirmation and more operational control.
A more guided experience that helps the business participate in data improvement without needing to understand every technical detail behind the platform.
Master Data Management, Data Quality and Data Governance should no longer feel like disconnected programmes that take years to show value.
They should feel like a system of progress.
A system that helps teams connect data, understand its condition, identify risk, take action, involve the right people, apply the right controls and prove improvement over time.
That is the experience CluedIn is building towards: Agentic Master Data Management for enterprises that need trusted, governed and AI-ready data.
See the technical roadmap, release groupings and planned capabilities shaping the next phase of CluedIn.
View the public roadmap