Home  /  Service Lines  /  Fabric™
Fabric™

Data & AI Managed Services

The governed data and AI foundation that makes agents trustworthy, grounded and auditable. Fabric™ builds and runs the managed data estate, the enterprise knowledge fabric, and the AgentOps and model-lifecycle machinery that make AI safe to put into production — the fuel layer every other Coventa service line depends on, and a managed service in its own right. It governs the data in your existing lakehouse, catalog and pipelines — integrating and grounding, not migrating.

Weeks
agents to production
Grounded
+ cited answers
0
policy violations target
Any
open + frontier models

What you get & what it delivers

Bold deliverables. Measurable benefits.

Key deliverables

  • A managed lakehouse + pipelines (DataOps) feeding analytics and agents
  • Catalog, lineage, classification and quality SLAs across the estate
  • A permission-aware vector + graph knowledge fabric (RAG)
  • AgentOps: registry, versioning, eval harness and runtime monitoring
  • Guardian agents: guardrails, red-teaming and an immutable audit trail

Business benefits

  • Agents that are grounded, cited and auditable — not ungrounded chatbots
  • Measured, minimized hallucination rate
  • Agents to production in weeks, fully governed
  • Cost per task optimized via model routing and vendor independence
  • Audit-ready data and AI for regulators

Outcomes, visualized

The numbers we target.

Indicative ranges — 2025–26 estimates and planning targets. Actual outcomes are scoped and contracted per engagement.

Trust & governance coverage

Indicative governed-estate posture at steady state

Governed assets cataloged90%
Sources grounded & cited85%
Eval pass rate95%

Time-to-value

Indicative speed-up vs DIY model & data management

Agent to productionWeeks
Cost per task↓ via routing
Drift caught earlyContinuous

Offering portfolio

Six managed offerings — each sold as an outcome.

Every offering runs on the Coventa control plane with bounded autonomy and human escalation, priced on outcomes rather than staff.

Managed Data Platform & Pipelines (DataOps)

Build and run the lakehouse, pipelines and change-data-capture that feed analytics and agents.

  • Lakehouse build & operate
  • Streaming & batch pipelines
  • CDC and reverse-ETL
  • Cost & performance optimization
  • SRE for data
Outcome KPIs: Pipeline reliability SLA; Lower data TCO; Fresh, trusted data
Pricing: Per-pipeline managed + consumption
Key integrations: Snowflake, Databricks, Fivetran, dbt, Kafka

Data Governance, Quality & Lineage

Catalog, classify, secure and certify enterprise data with measurable quality SLAs.

  • Catalog & lineage
  • PII/PHI classification & masking
  • Policy & access enforcement
  • Quality rules & scoring
  • Regulatory reporting
Outcome KPIs: Data quality score; Coverage of governed assets; Audit readiness
Pricing: Per-domain governance subscription
Key integrations: Collibra, Microsoft Purview, Unity Catalog

Enterprise Knowledge Fabric (RAG)

A governed vector + graph retrieval layer that grounds agents in enterprise truth.

  • Hybrid vector + graph retrieval
  • Permission-aware grounding
  • Freshness & re-indexing
  • Citation & traceability
  • Multi-modal content
Outcome KPIs: Answer accuracy; Hallucination rate ↓; Coverage of sources
Pricing: Consumption + accuracy-SLA outcome
Key integrations: Vector DBs, SharePoint, Confluence, DAM

AgentOps — Build, Run & Govern Agent Fleets

The operational backbone for client agent fleets: registry, versioning, evaluation and monitoring.

  • Agent registry & versioning
  • Eval harness & regression
  • Runtime monitoring & tracing
  • Cost & latency control
  • Human-in-the-loop workflows
Outcome KPIs: Agents in production; Eval pass rate; Incident-free runtime
Pricing: Per-agent managed + platform fee
Key integrations: LangGraph/Semantic Kernel, MCP, OTel

Model Lifecycle / LLMOps

Fine-tune, evaluate, route and govern models; a model gateway that manages drift and cost.

  • Model gateway & routing
  • Fine-tuning & distillation
  • Evaluation & benchmarking
  • Drift & cost monitoring
  • Open + frontier model mix
Outcome KPIs: Cost per task ↓; Quality maintained; Vendor independence
Pricing: Consumption + savings gain-share
Key integrations: Azure OpenAI, Bedrock, open models, Hugging Face

AI Trust & Guardian Agents

Guardrails, policy enforcement, red-teaming and audit that keep autonomous systems safe.

  • Input/output guardrails
  • Policy & safety enforcement
  • Red-teaming & bias testing
  • Approval & escalation gates
  • Immutable audit trail
Outcome KPIs: Policy violations → 0; Audit pass; Safe autonomy expansion
Pricing: Per-fleet trust subscription
Key integrations: Guardrails frameworks, SIEM, GRC tools

Prove it in weeks

Flagship POC — Knowledge Fabric + AgentOps

A 6–10 week proof that a domain agent can answer and act on enterprise questions with grounded accuracy, full governance and live evals.

Sources

Connect representative ERP, CRM, document and database sources for one domain.

Ingest & Pipeline

Stand up DataOps ingestion with CDC and quality checks into the lakehouse.

Govern & Quality

Apply lineage, PII handling, policy and quality scoring before anything reaches an agent.

Knowledge Fabric

Build the permission-aware vector + graph retrieval layer over governed content.

Agent Orchestration

Domain agents reason over the fabric and call tools to answer or act.

Guardian Agents

Guardrails, policy and audit wrap every interaction; evals run continuously.

Outcome

A governed, cited answer or action — with accuracy, drift and cost monitored as SLAs.

Commercial models

Priced on outcomes — never per FTE.

Outcome pricing

Pay per resolved, prevented or processed unit — or per SLA met. Never per FTE.

Consumption

Usage-based for data-, model- and compute-intensive offerings.

Gain-share

Shared upside on a measurable business KPI — cost takeout, throughput, quality.

Platform fee

Covers the control plane, governance and continuous evals.

Explore the portfolio

Other Coventa service lines

You pay for outcomes, not headcount.

Let's scope a flagship Fabric™ POC against one of your queues, workflows or lines — and prove the unit economics on your own estate.