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Agentic Application LaunchpadTransform Work

Your enterprise applications weren’t built to do the work. Now they need to.

We embed AI and agents into the processes within and between your applications, so they execute work where it already runs. Live in your environment in 1 to 3 weeks.

Where work gets stuck

Is this your situation?

You already know which processes in your applications are slow, manual, and dependent on people. The challenge is turning them into workflows that execute across systems, data, and decisions.

  • Your applications show data. People do the work.

    Decisions, coordination, and execution still depend on manual effort.

  • Work is coordinated by hand between systems.

    Instead of executing across them.

  • AI pilots don't reach production.

    They stay open-ended, without a credible path to running in your operations.

  • Some workflows have no application at all.

    Where no suitable application exists, we build one to run the workflow end to end.

What it is

A focused, fixed-fee engagement that upgrades your applications from systems that show data to systems that execute work.

Your applications already sit at the center of how work happens. The Agentic Application Launchpad embeds AI and agents into the processes within and between them, so workflows execute by interpreting data, applying rules, and triggering actions.

Delivered in 1 to 3 weeks, the solution runs on your data, in your environment, and is tested by the people who understand the process best.

This is not a prototype or a disconnected build. What you see is what runs, a working deployment that proves the workflow executes in production before scaling. Workflows execute consistently, and people focus where they add the most value.

What changes for you

Work executes consistently, faster, and at scale, inside the applications you already use.

Automated execution of work

Your enterprise applications move from showing data to executing work: moving data between systems, applying rules, and triggering actions.

Proven ROI

You will have a proven ROI, measured against your current process baseline, before committing to scale.

Work across systems

You will see work executed across your systems and processes, instead of being manually coordinated between them.

Running on your data

A solution running on your data, in your environment, not a demo, that your team can use, test, and take to the board.

Less manual coordination

People are involved where judgment is required, with full visibility and control over how decisions are made.

Production, not pilots

You will have a clear, credible path to production, not an open-ended pilot.

How it works

Discover. Prioritize. Deliver. Run.

  1. 01

    Discover

    We run discovery workshops with your business and technical teams to identify where workflows within your applications can move from showing data to executing work, grounded in your systems, constraints, and priorities.

  2. 02

    Prioritize

    We select a high-impact workflow where execution will drive measurable value, not just insight, suitable for a controlled build in your environment with governance and clear ownership in place.

  3. 03

    Deliver

    We baseline the current process in time and cost, embed AI and agents into workflows, and build a working solution in your environment using your data. We measure how the workflow executes, so value is proven before any commitment to scale.

  4. 04

    Run

    A working deployment runs in your operations, tested by your team, with measured outcomes and a clear path to scale. The decision to proceed is based on what is already running, not assumptions.

Impact study

An insurer's claims intimation agent, built in three weeks.

~10 minutes per claim with the agentImpact study: insurance claims
~3 hours per claim with a human assessorImpact study: insurance claims
3 weeks from discovery to working prototypeImpact study: insurance claims

Sector: insurance claims

The challenge is not the opportunity, but how to make it run in production.

Processes that have run the same way for years are difficult to change, workarounds become institutionalized, and every conversation about AI runs into the same barrier: how do we start to make this work in practice?

We ran a structured discovery workshop directly with the claims team to surface where AI and agents could be embedded into an existing workflow. The process selected was Claims Intimation: the initial assessment of whether an incoming claim is valid, covered, and complete. It requires structured claims data to be compared against unstructured policy documents and legislative text.

The agent reviewed claims data against policy documents and regulatory requirements, identified exceptions, and escalated complex cases to a human assessor for final decision-making, with full auditability throughout. It was built in three weeks, running in the client's own systems, on their own claims data, against their own policy documents.

  • Human in the loop for final decisions, with full auditability throughout

Where this fits

The Agentic Application Launchpad is a Transform Work offer.

It is where workflows within your applications move from showing data to executing work across systems, with control, consistency, and human oversight. This is the step where intent becomes execution, before scaling across the enterprise.

Practical questions

Effort, timing, cost.

How long until something is running?

1 to 3 weeks. The solution runs on your data, in your environment, tested by the people who understand the process best.

How is it priced?

It is a focused, fixed-fee engagement.

Do we need new applications?

Usually not. This is about upgrading the applications you already use. Where no suitable application exists, we build one to run the workflow end to end.

How do we know it's worth scaling?

We baseline the current process in time and cost before we build, then measure how the new workflow executes. The decision to proceed is based on what is already running.

Who makes the final decisions?

Your people, where judgment is required, with full visibility and control over how decisions are made.

Whitepaper

Agentic AI meets Automation

The path to intelligent orchestration

Whitepaper

Agentic AI meets Automation: the path to intelligent orchestration

Traditional automation strategies are no longer enough to stay competitive. Learn how agentic AI and automation work together, and build your roadmap to autonomous, AI-driven operations.

Free · a short form, then instant access

Make your applications execute work. See it running in production. Scale with confidence.

When shall we begin?

Bring the workflow your team still pushes through by hand. We'll show you it executing inside your own applications.