Customer story:

Customer story:

Customer story:

Establishing the Right Foundations for an AI-Enabled Product

Establishing the Right Foundations for an AI-Enabled Product

Establishing the Right Foundations for an AI-Enabled Product

A professional services organisation with deep expertise in commercial capability training set out to create a new AI-enabled product to support sales meeting preparation.

Rather than rushing into development, the organisation wanted to ensure the right technical foundations were in place from the outset, with a clear understanding of platforms, processes, and risks before committing to build.

AgentimiseAI was engaged to provide early-stage technical advisory support, helping shape a clear and test-ready direction while the organisation retained full ownership of its intellectual property and delivery.

The Challenge

Reducing uncertainty at the start of an AI initiative

The organisation had a clear product concept but faced several unknowns that needed to be resolved before moving forward.

These included:

  • Selecting an appropriate platform and software to build and test the solution

  • Understanding how to protect data and intellectual property

  • Clarifying the steps required to design, build, and validate an AI-driven product

  • Setting up an initial testing environment that would allow safe experimentation

At this stage, the primary challenge was not implementation, but confidence, ensuring early decisions would not create security, scalability, or ownership issues later on.

Reducing uncertainty at the start of an AI initiative

The organisation had a clear product concept but faced several unknowns that needed to be resolved before moving forward.

These included:

  • Selecting an appropriate platform and software to build and test the solution

  • Understanding how to protect data and intellectual property

  • Clarifying the steps required to design, build, and validate an AI-driven product

  • Setting up an initial testing environment that would allow safe experimentation

At this stage, the primary challenge was not implementation, but confidence, ensuring early decisions would not create security, scalability, or ownership issues later on.

Reducing uncertainty at the start of an AI initiative

The organisation had a clear product concept but faced several unknowns that needed to be resolved before moving forward.

These included:

  • Selecting an appropriate platform and software to build and test the solution

  • Understanding how to protect data and intellectual property

  • Clarifying the steps required to design, build, and validate an AI-driven product

  • Setting up an initial testing environment that would allow safe experimentation

At this stage, the primary challenge was not implementation, but confidence, ensuring early decisions would not create security, scalability, or ownership issues later on.

Reducing uncertainty at the start of an AI initiative

The organisation had a clear product concept but faced several unknowns that needed to be resolved before moving forward.

These included:

  • Selecting an appropriate platform and software to build and test the solution

  • Understanding how to protect data and intellectual property

  • Clarifying the steps required to design, build, and validate an AI-driven product

  • Setting up an initial testing environment that would allow safe experimentation

At this stage, the primary challenge was not implementation, but confidence, ensuring early decisions would not create security, scalability, or ownership issues later on.

Why AgentimiseAI

Trust, recommendation, and an advisory-first mindset

AgentimiseAI was engaged following a recommendation and an initial AI training and AI agent discovery workshop, designed to build shared understanding of how agentic AI could be applied in practice to the product concept.

What resonated was not a promise to “build quickly”, but an advisory-led approach that focused on helping the organisation think through its options before committing to technical decisions.

This approach aligned with the organisation’s priorities:

  • Maintaining internal ownership of ideas and delivery

  • Avoiding premature commitments to platforms or vendors

  • Gaining confidence in how to approach AI without outsourcing responsibility

AgentimiseAI was selected as a technical advisor who could support early-stage thinking, provide clarity, and act as a sounding board, rather than as a delivery partner taking control of the solution.

“Great initial consultancy and hands-on AI advice to help understand exactly how to launch a concept for testing, with ongoing consultancy where required.”

COO @ The global commercial capability training organisation.

The Solution

Practical advisory support to move from concept to test-ready

AgentimiseAI delivered a focused technical advisory engagement designed to turn an early product idea into a clear, test-ready plan.

Working closely with the internal team, the engagement included:

  • Guidance on how to structure the AI solution for early testing

  • Advice on suitable platforms and tooling for experimentation

  • Support in understanding data security and IP protection considerations

  • Direction on setting up an initial testing environment

  • Ongoing consultancy to support key technical decisions

By the end of the engagement, the organisation had a clear understanding of how to proceed, increased confidence in its technical approach, and a structured path to begin testing independently.

Our approach to AI discovery and delivery

Learn more about our training, discovery, and advisory services.

Contact the Agentimise team

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