Does Netwoven only work with Microsoft AI technologies?

Netwoven is Microsoft-first, not model-exclusive. We select the appropriate platform and model based on enterprise architecture, data sensitivity, integration, performance, governance and commercial requirements.

Do we need a completed pilot before engaging Netwoven?

No. The framework can be used to qualify an idea before a pilot, assess a pilot already underway, rescue a stalled initiative or harden a deployed application that lacks sufficient governance and operations.

What makes a solution production-ready?

Production readiness is demonstrated through business ownership, workflow fit, reliable and permission-aware data, suitable architecture, enterprise integration, repeatable evaluation, security and governance controls, adoption readiness and an accountable run model.

What happens after the complimentary workshop?

You receive the initial heatmap and action plan. Depending on the findings, the next step may be internal remediation, a detailed Production Readiness Assessment, a targeted productionization sprint or a broader rollout program.

What is Managed AgentOps?

Managed AgentOps is the operating model after launch. It covers monitoring, evaluation, incident response, prompt and workflow versioning, model changes, retrieval quality, content freshness, access reviews, cost optimization and business-value reporting.

Capabilities » Transform with AI » AI Opportunity & Readiness

Discover · Part of the Netwoven AI service line

AI Readiness Assessment for Enterprise AI

Know exactly where AI will pay off

Pick the use cases worth funding, prove your data and platform can support them, and leave with a prioritized, governed roadmap instead of a drawer full of disconnected pilots.

Discuss AI readiness

AI-Powered Contract & Procurement Management

63%

Data isn’t AI-ready

of organizations lack — or are unsure they have — AI-ready data practices, and Gartner predicts 60% of AI projects without AI-ready data will be abandoned. This service is where you find out where you actually stand, and where the value is.

Source: Gartner

What an AI readiness assessment covers

Use-case discovery

Structured workshops with business and IT to surface candidate use cases across functions — and separate the fundable from the fashionable.

Value & feasibility scoring

Each use case scored on business value, technical feasibility, data dependency and risk, so prioritization is a number, not a hunch.

Data readiness assessment

Quality, lineage, access and sensitivity posture reviewed against each use case — including Microsoft Purview and oversharing exposure.

Platform readiness

Where Microsoft 365 Copilot, Azure AI, Fabric and Power Platform already fit, and where gaps need closing before you scale.

Governance foundations

The minimum viable AI governance — ownership, policy, Responsible AI guardrails — established early so later stages don’t stall on it.

Prioritized roadmap & business case

A sequenced 30/60/90 plan with a funded business case for the first workloads, ready to take to sponsors.

How we prioritize your AI use cases.

Typically 2–4 weeks.

Step 1

Frame

Align on business goals, constraints and the shortlist of candidate use cases.

Step 2

Assess

Score each use case and evaluate data and platform readiness against it.

Step 3

Prioritize

Rank the portfolio by value, feasibility and risk into a clear sequence.

Step 4

Roadmap

Produce the funded 30/60/90 plan, target architecture sketch and business case.

Outcomes you can point to

A ranked, scored portfolio of AI use cases

A data readiness scorecard tied to those use cases

A target-architecture sketch across your Microsoft estate

A funded 30/60/90 roadmap and business case

Data readiness for AI

This is the service that stops AI programs from spending their budget on the wrong pilots. It sets up every stage that follows.

Discuss AI readiness

Is your data ready for AI?

Each Netwoven AI service stands on its own and sets up the next. These pair most closely with this one.

Copilot Adoption & Change

Turn Copilot licenses into measured behavior change across roles.

Explore this service

AI Pilot to Production

Turn pilots and agents into secure, evaluated production systems.

Explore this service

AI Security & Governance

Identity, data protection and agent governance designed in from the start.

Explore this service

Client Success Stories

Real‑world examples of how organizations are turning AI strategy into measurable outcomes with Netwoven’s Frontier Firm approach.

Improve Sales Operations with an AI-Analyst Agent

Case Study

Technology

A Software Company Integrates Salesforce and Microsoft Teams to Improve Sales Operations with an AI Analyst Agent

Netwoven built a Microsoft Teams–based AI Sales Ops Agent for a 10,000-person software company.

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Case Study

Construction

Construction Firm Strengthens Security Before Copilot for Microsoft 365 Rollout

Created security infrastructure for safe global deployment of
M365 Copilot.

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The Netwoven Frontier Firm Advantage

Deep Microsoft ecosystem expertise, proven frameworks, and real-world AI delivery experience to help organizations build Frontier Firms with confidence.