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 » Managed AgentOps

Operate · Part of the Netwoven AI service line

Managed AgentOps: AI Agent Monitoring & LLMOps

The run model for AI that’s already live.

Launch is the start, not the finish. We monitor quality, control releases, keep grounding content fresh, manage cost and report business value — so your agents keep working long after go-live.

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Day 2

AI observability for agents in production

Most organizations that reach production have no operating model for what comes next. Agents drift, grounding goes stale, costs creep and quality erodes silently. AgentOps is the discipline that keeps a live AI system trustworthy.

What managed AgentOps services includes

AI model monitoring services

Quality & latency monitoring

Continuous monitoring of answer quality, latency and failure modes, with alerting before users feel it.

Evaluation & regression testing

Automated evals and regression suites so every change is measured, not hoped, before it ships.

Release control

Controlled, reversible releases for prompts, models, grounding and integrations — no silent changes in production.

Grounding content refresh

Keep the knowledge behind the agent current, governed and correctly scoped as your business changes.

Access reviews & cost optimization

Periodic access reviews plus token, model and routing optimization to keep spend proportionate to value.

Incident response & value reporting

Defined response for AI incidents, plus a monthly report tying quality, cost and usage to business outcomes.

A clear path, not an open-ended engagement

AI agent lifecycle management, SLA-backed.

Step 1

Onboard

Instrument the live system — monitoring, evals, access baseline and cost visibility.

Step 2

Monitor

Watch quality, latency and cost continuously, with alerting and defined response.

Step 3

Optimize

Tune routing, grounding and releases to hold quality up and cost down.

Step 4

Report

Deliver a monthly value, quality and risk report leadership can rely on.

Outcomes you can point to

SLA-backed operation of your production agents

Quality, evaluation and cost dashboards

Controlling AI cost and quality after launch

A monthly value and risk report

LLM evaluation and monitoring

Our production agent architecture resolves roughly 85% of requests deterministically — no LLM call — which is exactly why operating cost stays predictable at scale.

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This is one service. Here’s where it connects.

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

AI Pilot to Production

Turn pilots and agents into secure, evaluated production systems.

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AI Security & Governance

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

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Enterprise AI Accelerators

Governed, tenant-native accelerators for the workflows you automate first.

Explore this service

Keep your live AI trustworthy — long after launch.
We’ll operate your production agents with the monitoring, releases and reporting a critical system deserves.

Talk to an AI architect

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.

Read Case Study

Case Study

Construction

Construction Firm Strengthens Security Before Copilot for Microsoft 365 Rollout

Created security infrastructure for safe global deployment of
M365 Copilot.

Read Case Study

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.