Synextra launches managed AI agents for regulated industries

A managed approach to AI

Synextra, a specialist in Microsoft Azure, has launched a new service called Agents of Output. This offering is specifically designed for governance-led sectors that handle high-volume, regulated tasks. The company aims to help industries like insurance, accountancy, and legal services automate complex but repeatable work.

Unlike many software products that require a company to manage the technology themselves, this is a fully managed service. Synextra designs, builds, and operates the AI agents on behalf of the client. This means the firm provides the AI as a service rather than just a tool for the client to figure out on their own.

The goal is to provide immediate value without requiring the client to undergo extensive training or change their existing systems. The agents are built to integrate directly into the current infrastructure of the organization. This allows firms to automate tasks like drafting engagement letters or conducting anti-money laundering checks without disrupting their current workflow.

Focusing on the final output

Synextra is positioning its service around the reliability of the final result rather than the process of using the tool. CEO Chris Piggott noted that in governance-led firms, AI often fails at the sign-off stage. Because of this, the company focuses on building agents that meet specific standards before they are ever deployed.

The company promises not to bill a firm for finding out that an agent is not worth building. If a process is suitable for automation, the teams agree on a standard for every output the agent must meet. Synextra then builds the agent to meet those specific requirements and remains responsible for its performance.

This approach is designed for organizations that must be able to demonstrate exactly how each piece of work was produced. By focusing on the output, Synextra aims to deliver measurable value. They want to reduce the operational burden of high-volume work while ensuring that every automated action is transparent and accountable.

How the deployment works

The process begins with a design phase that Synextra offers at no cost to the client. During this stage, engineers map out the current workflow and agree on a scope, timeline, and a specific acceptance test. No commitment is required from the client until these details are finalized and agreed upon.

During the development phase, engineers connect the AI agent to the firm's existing systems. They test the agent using the firm's own actual work to ensure it passes the agreed-upon acceptance test. This ensures that the agent can handle the specific nuances of the client's data before it goes live in a production environment.

Once the agent is operational, Synextra engineers continue to work alongside the end users. They adapt the agent as processes or requirements change and monitor its performance constantly. This ongoing management ensures that quality remains high and that any issues are addressed proactively by the service provider.

Risk and accountability

One of the most distinct features of Agents of Output is that Synextra assumes the risk for each build. They manage and operate every agent for as long as the client chooses to use it. This removes the burden of maintenance and technical oversight from the client's internal IT or operations teams.

To maintain control, the client remains in charge of the final decisions. Each agent follows a strict specification and is programmed to refer any exceptions to human staff. This ensures that the AI does not make autonomous decisions on edge cases that require human judgment or specialized expertise.

Every change made by the agent is logged and can be reversed, which is a critical requirement for regulated industries. This level of traceability allows firms to maintain full accountability for their outputs. It provides a clear audit trail that shows how the AI interacted with the data and where human intervention occurred.

Pricing and performance

The pricing model for the service is designed to be transparent and tied to results. There are no setup or consulting fees, and there are no charges based on the number of users or the number of hours spent. This is intended to make it easier for firms to scale their operations without increasing their overhead costs.

Instead, each compliant output costs from £0.05, plus a monthly platform fee. This performance-based structure means that the firm only pays for the work the AI successfully completes. It allows organizations to scale their volume of work without needing to increase their headcount to manage the extra load.

A recent example of this technology in action involved a UK conveyancing group. They needed a way to extract special conditions from mortgage offers, which is a high-volume task. The agent identified 99.9 per cent of the conditions with no false matches during the trial phase. This demonstrates the level of accuracy the service aims to provide for complex, regulated data.