We believe in the power of advanced technology to solve complex business problems and challenge existing expectations. AI is poised to create limitless opportunities in the market, and our perspective and philosophy on its potential led to our creation of an innovative agentic AI industry accelerator that we internally call Morpheus.
Combining the power of data and multi-agent autonomous teams, our first-of-its-kind AI solution marks a significant step in applying advanced large language models (LLMs) to highly regulated sectors. Through its unique design, fields like healthcare, financial services, insurance and private equity can implement AI-driven innovation while adhering to strict data transparency requirements.
LLM- and cloud-agnostic, it enables an entirely new way of thinking about autonomous teams, removing constraints and freeing up valuable people inside a business to do more meaningful work.
AI-driven transformation built on solid ground
Three foundational themes
Shifting to a model focused on data integrity offers greater trust and flexibility for businesses. Our accelerator embody this fresh approach, founded on the notion that initial inputs may not be flawless but can evolve into reliable and actionable assets through processing, enabling more impactful outcomes.
Moreover, transparency and governability reign supreme in tightly regulated sectors. Within our accelerator, each data interaction is meticulously logged, tagged with metadata and fully transparent, allowing verification of actions, timing and rationale for complete clarity.
One agent is impressive, but as with one person, you quickly discover the limits of that single path. When you organise people together in functional teams, you discover economies unachievable with single individuals. The same applies to agents.
On a multi-agent autonomous team, a lead agent receives an instruction set and creates smaller chunks of activity to be distributed among specialist agents working on its behalf. As the pieces are completed, the lead agent orchestrates them back into the proper output and sends it along to the next workflow step.
Oversight from human users is possible through a rich governance layer applied atop all activity.
Just like in the real world, when one team is overloaded, you call in extra help for support. The accelerator leverage a similar mechanism to create multiple channels for high-intensity processes and move data through the pipeline more efficiently.
Rather than having one agent grind out a sequential process, holding up other aspects that could move forward, the scale factor allows for a more streamlined approach to workflow throughput.
Learn about the mission, technology and expectations shaping our agentic AI industry accelerator.
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Get our experts' perspectiveAI adoption is a journey – and requires a strategic path. Learn about the stages of adoption and the concept of autonomous agents in this article.
Enter the new eraFor highly regulated industries, AI has been a challenging concept to take on. Here, explore how transparency, traceability and trust pave the way forward.
Delve into an expert Q&A
Operationalising tools and LLMs alongside data ensures that everything is transparent, recorded and auditable.
Greater data transparency makes it the ideal solution for industries rooted in strict compliance and regulation.
Groups of agents work together to accomplish more than one alone – handling complex challenges and workflows.
John Cotterell
Chief Executive Officer, Endava
Matt Cloke
Chief Technology Officer, Endava
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