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Microsoft Copilot Readiness Assessment
Services/AI Adoption and Implementation
SERVICE 03

Take AI from pilot to production, with governance and human review.

Most AI pilots never reach production. OrchV helps you choose the right use cases, prepare your data and build assistants and automation that work with your systems and respect your data.

Microsoft CopilotAssessment:Microsoft Copilot & AI Readiness Assessment
THE CHALLENGE

When AI stays in the demo

A pilot impresses in a meeting, then stalls. The data is scattered, access controls are unclear, and nobody is sure what the model may see. Teams worry about wrong answers and about where company data goes.

Why it matters:Without governance and a clear use case, AI adds risk without adding value.

How we work

From readiness and data review to retrieval-based search, assistants with human approval, and first-line support.

Phase 01

Readiness and data foundation

Review your data estate, identity and access, and governance. This includes the Copilot readiness assessment.

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Phase 02

Knowledge and retrieval

Bring your documents together and build retrieval-based search that answers with source references.

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Phase 03

Assistants and automation

Build assistants and workflow automation with Copilot Studio or custom solutions, with human approval where it matters.

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Phase 04

Support and operations

Add runbook-based first-line support assistants, connect them to ITSM tools and monitor results.

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Phase 03 Deliverables

Assistants built in Copilot Studio or as custom solutions.
Multi-step workflows connected to your business systems.
Human approval for important actions.
Checks on every output before it is used.
Tools:Copilot StudioAzure OpenAIPython
[ CAPABILITIES ]

What we build

8 Core Capabilities
01

AI readiness and use-case discovery

Find the use cases worth building and the policies needed first.

02

Microsoft Copilot and Copilot Studio

Assess readiness, configure Copilot and build custom assistants.

03

Generative AI on private data

Build applications that use your own documents and systems.

04

Assistants and chatbots

Conversational assistants for employees and customers.

05

Retrieval-augmented search

Search across company knowledge with answers linked to their sources.

06

Document intelligence

Extract and validate information from unstructured documents.

07

Workflow automation

Connect AI to business processes and ITSM tools, with human review.

08

Responsible AI

Access control, privacy, review steps and monitoring.

Technology

Generative AI and large language modelsEnterprise CopilotsKnowledge platformsITSM integrationHuman-in-the-loop workflowsPythonAzure

Also within our capability

Microsoft CopilotCopilot Studio
OUTCOMES & ACCOUNTABILITY

What clients can expect

A prioritised list of AI use cases with clear owners.
Assistants that answer from your own documents.
Less manual effort in first-line support.
Controls that let you say what the AI can and cannot see.
KNOWLEDGE BASE

Frequently asked questions

Q1:

What is retrieval-augmented generation (RAG)?

RAG finds the relevant passages in your own documents and gives them to a language model before it answers. The answer is based on your information, and it can point to the source.

Q2:

Is our data safe?

We run solutions inside your environment or use provider agreements that do not allow your data to be used to train public models. Access follows your existing permissions.

Q3:

How do you reduce wrong answers?

By limiting answers to retrieved sources, showing those sources, constraining the task and keeping a person in the loop for important decisions. No system removes the risk entirely, so we design for review.

Q4:

What is a Copilot readiness assessment?

A review of your data estate, identity and access, governance and adoption plans, so that Microsoft Copilot shows people the right information and delivers value from the start.

Q5:

Can AI assistants take actions in our systems?

Yes, within limits we agree with you. Assistants can follow defined steps and update ITSM or workflow tools, with approval where the risk is high.

Q6:

Can you process documents automatically?

Yes. We classify documents, extract fields and validate them against your rules, with exceptions routed to a person.

Q7:

How do you keep AI costs predictable?

We track usage, choose model sizes that fit the task and set limits. We start small and scale once the value is clear.

Q8:

How long does a pilot take?

A scoped pilot is usually measured in weeks. We agree the timeline after use-case discovery.

[ NEXT STEPS ]

Ready to see where AI fits?

Start with a readiness assessment. You will leave with a practical plan.

Assess Your AI Readiness