Tredence: Solving the Last Mile Problem in AI

Share this article
Share this article
Prioritise Us on Google
Tredence: Bridging the Gap Between the Creation of AI Model and Business Workflow Integration
As AI and automation grows across industrial manufacturing & supply chains, Tredence explores how it can be used to deliver the last mile value of AI

Tredence is a global data and AI solutions provider, operating to drive rapid value for enterprise clients.

It aims to solve the ‘last mile’ problem – the gap between the creation of an AI model and embedding it into a business workflow intuitively.

It acts as a strategic partner to 100 Fortune 500 companies, serving across a range of industries, including retail, consumer packaged goods and industrial manufacturing.

Redefining technology

Today’s world is rapidly evolving and the technology landscape is being continuously upended  – often disrupting the market it is intended to help. 

AI is proven to be a valuable tool, helping businesses around the world realise cost savings, productivity gains and resilience development. 

“Tredence has one singular mission: to accelerate decision intelligence and process efficiency with agentic AI for our customers,” explains Rakesh Sancheti, Chief Growth Officer at Tredence.

Tredence reimagines and reengineers business processes, embedding AI agents to unlock greater efficiency, smarter decisions and scalable operations. 

“One of the first things we examine is how we map the end-to-end business process and identify each pain point in the value chain. Agents are becoming one of the key drivers to reimagine the business process and cut down the process steps. Agents are also playing a big role in terms of productivity itself,” adds Rakesh.
Tredence has developed RAPID, a process ‘agentification’ platform which designs and operationalises multi-agent systems that cut decision latency, eliminate manual drags and unlock autonomous execution across departments, building digital teammates that deliver.

AI Agents Reshaping Business Processes at Scale

‘Always-on’ monitoring and analysis capabilities

Manufacturing is a broad domain comprising heavy engineering, discrete manufacturing and process manufacturing, each having distinct operations, commercial outreach and customer behaviour.

The evolution of AI has meant that agents undertake proactive monitoring within procurement and supply chains, exploring resources on a 24/7 loop to spot inconsistencies or new opportunities, cutting lead times. 
To help further, Tredence offers Milkway, a constellation of agents which can recognise a drop in sales velocity, formulate hypotheses and run statistical analysis to report back the underlying cause.

Smarter Manufacturing Starting With AI-driven Analysis

The human touch

Rakesh expects the manufacturing industry to turn towards AI powered smart manufacturing and digital operations. He says: “We are already witnessing  multi-agent systems being deployed in shop floors for smart operations. 

“Industrial clients are  deploying always-on intelligence with purpose-built AI agents, turning plant data into action with IT-OT integration and AI powered digital twin agents.”

The manufacturing industry is highly competitive and margins are thin. When utilised correctly, AI investments yield significant ROI, but Rakesh emphasises that technology will not replace a human workforce.

“As we move toward Agentic AI—where systems take autonomous actions—the 'human-in-the-loop' becomes our moral compass. I think it is very important for us to stay ‘grounded’, so we do what is right for the long-term and for a sustainable future.” 

A brand’s reputation is built on how it navigates exceptions and ethical dilemmas. Rakesh affirms “the human touch provides the necessary layer of accountability that AI cannot replicate, so for us it's always going to be human plus AI.”

Company portals

Executives