Implementation
Overview
Often the best way to lower the barrier(s) to AI adoption in an organisation is to see it in action, by experiencing the tangible value it can bring.
This service is designed to help businesses make a fast start in AI by building momentum with early wins & high-value proof of concepts (PoCs) that build confidence and validate use-cases before a broader, production scale roll-out of AI across multiple business functions.
To do this, we scope, design & deploy targeted PoCs in desired functions, teams and workflows of the business (marketing, sales, fulfilment, customer service) such as automations, agents, AI-workflows or custom applications to prove strategic value & build internal confidence for further scale.
Why it matters
Despite 88% of all global businesses using Generative AI tools (McKinsey), only 6% report achieving a significant EBIT impact (>5%).
This is because GenAI use remains largely unmanaged & unmeasured, with less than 37% (IBM) having governance in place, 44% lacking a clear strategy (McKinsey) and most use of AI being experimental (shadow AI) with only 33% of businesses are actually scaling it in their teams/workflows. (IBM)
By approaching AI adoption with strategic focus, businesses can reap significant benefit in rolling out AI intentionally, measuring return of investment and understanding its future value.
What to expect
We start with scoping & discovery, followed by defining strategic success criteria and outlining design requirements, which moves into build, test & deployment, and finally evaluation & measurement success.
Typically, PoC engagements and pilot AI solutions can span from 4-12 weeks from scoping to deployment, with cost & timelines varying based on scope, requirements and the readiness and complexity of client data & systems.
