What was the purpose of the Sales Enablement AI agent?

The agent was designed to reduce friction in routine sales work by providing a secure conversational route to approved CRM capabilities, company knowledge and guided workflows in Microsoft Teams.

Did the AI agent replace salespeople or sales leadership?

No. The solution was designed to enhance the team’s capability. Employees retained responsibility for relationships, commercial judgement, source checking, response review and final approval.

How was the agent secured?

Security was designed through existing identity, role-based access, approved data sources, defined tools, controlled actions, human review and information governance. Using a Microsoft platform alone did not make the solution secure by default.

Could the agent make changes in CRM and SharePoint?

The agent could use approved, defined tools for specific actions such as creating or updating leads, recording sales activities and creating SharePoint folders. Those tools could enforce inputs, validation, business rules, permission controls and confirmation steps.

Was company knowledge automatically trusted or submitted to prospects?

No. Curated company material made approved information easier to find. Employees remained responsible for checking sources, confirming relevance, adapting important statements and approving any final submission.

Home Case StudiesSecure AI Sales Enablement

AI Sales Enablement Case Study

Leveraging Secure AI to Enable Sales Teams

Sales teams are expected to prospect, develop relationships, manage opportunities, respond to tenders and maintain accurate CRM records. But too much of their time can be lost to administration, searching for information and moving between disconnected systems.

Wavex created a secure Sales Enablement AI agent that brought CRM processes, company knowledge and repeatable sales activities into a single conversational interface within Microsoft Teams.

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Secure sales assistant

Delivered in Microsoft Teams

Microsoft Teams

CRM capabilities

SharePoint knowledge

Defined workflows

Successful business AI starts with understanding the work, not choosing the model.

The challenge

Time lost between systems

Salespeople were moving between CRM administration, company information, proposals and colleagues to progress everyday work.

The approach

Understand the work first

Wavex mapped activities, applications, processes and data sources before deciding where AI could provide the greatest initial benefit.

The solution

A secure Teams assistant

A Microsoft Copilot Studio agent connected approved CRM capabilities, company knowledge and guided workflows in Microsoft Teams.

The value

Better access and consistency

Less routine administration, easier access to approved information, more consistent processes and clearer visibility for sales leadership.

The challenge

Valuable sales time was being lost between systems

Sales teams balance prospecting, relationship development, lead management, meetings, proposal preparation, tender responses, forecasting and CRM administration. Each activity depends on accurate information, but those sources are rarely found in one place.

CRM administration is essential but often postponed. When leads, calls, meetings and follow-up activities are not recorded consistently, the organisation loses a clear view of relationships and pipeline. Meanwhile, company information can be scattered across SharePoint, previous proposals, templates, the website and individual colleagues’ knowledge.

Where there is no dedicated pre-sales resource, salespeople can need to interrupt technical specialists and senior managers for routine information. That creates friction for the team and makes the process harder to scale.

Friction map

Salesperson

Searching, switching and asking across multiple sources

CRM

SharePoint

Previous proposals

Website

Technical colleague

Senior manager

Starting with the work

Wavex started with the sales process, not the AI

Automating a poorly understood process can reproduce existing weaknesses more quickly. Wavex began by mapping the way people worked, the information they used and the points where a controlled agent could remove friction without taking ownership away from the team.

This is the practical discipline of connecting technology initiatives to defined business outcomes, rather than assuming a platform is the answer. It also reflects why selecting technology before understanding the process often produces poor results.

Sales activities and existing processes

CRM data, applications and document repositories

Knowledge sources, user roles and information permissions

Repetitive administrative tasks and activities requiring human judgement

Priority activities

Updating the CRM

Interrogating the CRM

Querying company knowledge

Secure Microsoft AI foundation

Building the agent securely within Microsoft 365

Microsoft Copilot Studio provided a platform for combining generative AI, approved company knowledge, business-system connectors, defined actions, structured workflows, Power Automate processes and Microsoft Teams delivery. It also enabled the solution to work with the organisation’s existing Microsoft identity environment.

The design incorporated ensuring that sensitive information is properly understood and protected before connecting it to AI and a structured, role-based approach to secure AI adoption.

Microsoft Copilot Studio

Using a Microsoft platform did not make the solution secure by default. Security came from deciding what information the agent could access, which users could access it, which actions were permitted and where confirmation or human review was required.

Existing identity

Employees used their established Microsoft identity, rather than a shared account or unmanaged consumer AI service.

Role-based access

Access to information and capabilities could reflect the user’s role, rather than giving every employee the same level of visibility.

Approved data sources

Access was designed around information that had been identified, understood and approved for the required purpose.

Controlled actions

Defined tools, permissions and confirmation points constrained important actions and protected business-system workflows.

Human review

People remained responsible for confirming important outputs and making commercial decisions.

From chatbot to practical assistant

Giving the agent the ability to perform useful work

The agent did more than answer questions. Wavex created a set of approved tools that allowed it to interact with business systems and perform specific actions. The language model could interpret what the user was asking, while the underlying tools set the inputs, validation, business rules, permissions and error handling for important actions.

Create Lead

Update Lead

Create Sales Activity

Query Lead

Query Staff

Query Opportunities

Create New SharePoint Folder

Query Issued Sales Documents

Flexible enough to understand a conversation. Controlled enough to work safely with business systems.

The overall agent interpreted natural language probabilistically, but important actions could be constrained through defined tools and structured workflows.

Curated knowledge

Public company website information

Recent proposals and issued sales documents

Approved templates and standard information

Financial information, accreditations and evidence

The agent made approved material easier to find for RFI responses, RFP submissions, tender preparation, proposals, company background questions and locating previous examples.

Approved company knowledge

Making company knowledge easier to use

Salespeople could ask questions in ordinary language instead of manually searching folders and documents. The solution improved access to approved information, but it did not automatically submit answers or make decisions for people.

Checking the source

Confirming relevance

Reviewing important statements

Adapting responses to the prospect

Approving the final submission

The agent accelerated access to knowledge. It did not remove responsibility for the answer.

Ongoing agent guidance

Creating rules that could evolve with the business

Wavex created an LLM rules document to guide how the agent interpreted requests, used company terminology, structured answers, asked follow-up questions and operated within defined boundaries. This was agent-level guidance that could be refined as the organisation learned from real-world use, not retraining of the underlying Microsoft model.

Interpret requests clearly

Use company terminology

Structure answers consistently

Ask useful follow-up questions

Respond when information is missing

Operate within defined boundaries

Guided business processes

Turning repeatable sales processes into guided conversations

For general requests, the agent’s orchestrator could select relevant knowledge or tools. For a consistent sales sequence, Wavex created Copilot Studio Topics, defined conversational workflows that guided people through the stages and could call Power Automate where deeper integration was needed.

Featured example

Create a new lead

Start the conversation

The salesperson tells the agent that they want to create a new lead.

Gather essential information

The agent asks for the information required by the organisation’s sales process.

Enrich the record

Where permitted, approved public sources add useful context about the prospect.

Check the information

The salesperson can review or confirm the details before the record is created.

Create and assign

The agent creates the CRM record and assigns it to the salesperson.

A process that previously required navigation between websites, forms and applications became a guided conversation that supported more consistent data capture, required-field completion and sales-process adherence. CRM success depends on process design, data quality and adoption, not simply the software.

Delivered through Microsoft Teams

Available wherever the sales team worked

Publishing the assistant through Microsoft Teams gave salespeople a familiar chat interface in the office, at home, travelling, leaving a prospect meeting, preparing a proposal or reviewing their sales pipeline. Adoption did not depend on introducing another standalone system.

After a prospect meeting

A business development manager can record the interaction and follow-up activity while the information is still fresh.

Preparing a tender response

A salesperson can locate approved company information and previous material without waiting for a colleague.

Reviewing performance

A sales leader can ask about opportunities, activities and progress against targets before assembling a manual report.

Outcomes by role

One agent, different benefits across the sales team

The solution was designed to make everyday work easier for people at different stages of the sales process, without displacing human relationships, judgement or leadership.

New sales employees

An accessible assistant answered routine company and process questions using approved information. Human managers retained responsibility for coaching, judgement and commercial leadership.

Business development managers

A more convenient route to complete routine administration, create and update leads, interrogate sales information and find approved company material while away from a desk.

Sales leadership

A conversational route into opportunities, activities, pipeline and progress against targets. Formal forecasting and management review remained essential.

Technical and senior specialists

Existing information became easier to find, reducing routine questions so specialist time could focus on complex, unusual or strategically important requirements.

The broader lesson

A practical model for secure business AI

The project demonstrated that effective AI adoption is not primarily about deploying a chatbot. It requires a clear business problem, process understanding, appropriate data, secure identity, role-based access, curated knowledge, controlled tools, structured workflows, human review and ongoing refinement within everyday working practices.

Begin with the work, not the model.

Map the processes, systems and information employees already use. Prioritise a small number of high-value activities. Then design an agent that makes those activities simpler while preserving security, permissions and human accountability.

01A clear business problem

02Process understanding

03Appropriate data

04Secure identity and access

05Curated knowledge

06Controlled tools

07Structured workflows

08Human review and refinement

Related insights

Secure AI sales enablement FAQs

Explore the opportunity

Could secure AI help your teams achieve more?

Wavex helps organisations identify where AI can deliver practical value, establish the right security and governance foundations, and build solutions that connect safely with Microsoft 365, company knowledge and existing business processes.

If your teams are losing time to administration, searching for information or moving between disconnected applications, a securely designed AI agent could help them work more efficiently and consistently.

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Tell us where teams lose time or where secure AI could support your processes. a sector specialist will be in touch. We aim to reply within 1 hour. We aim to reply within 1 hour.