How a leading enterprise decision platform turned experts into agent builders

The software large enterprises run their plans on.

A global enterprise planning and performance management software provider whose products large organisations use to build forecasts, model scenarios and allocate resources.

Region

Global

Sector

Enterprise planning software

Annual revenue

> $500M/year

Employees

2,500+

Function in scope

Agent building across six product teams

137 spreadsheets, one accountant, and no way to build the fix.

The firm’s experts could describe the agents they needed down to the last edge case, but every idea had to wait in a central team’s queue.

1. Experts who could not buildThe quarterly board report is assembled by hand from 137 spreadsheets. The accountant who knows which numbers matter could describe the agent, but could not build it.
2. The same gap in every functionA controller reviewing contracts one at a time for revenue recognition. A supply chain planner choosing which part-full trucks to send each week. A sales leader whose team gets too little information or far too much.
3. Expertise lost in the handoverSpecification, handover, build, review. At review the expert finds the logic subtly wrong, because the detail that mattered never got written down.
4. Promising ideas never queuedOnly the strongest ideas justified a request to the central team. Ideas that were merely promising never entered the queue at all.

Giving experts a builder was the easy part.

Finance set the bar: an answer that can’t be traced isn’t an answer. To get it right, every build had to pass four tests.

1. Experts build directlyDomain teams had to turn a plain-English description into a running application, without writing a specification for someone else.
2. A working interface, not a descriptionExperts spot a missing step or a wrong assumption only when they can run the thing, so the interface had to arrive with the build.
3. Live planning data from day oneAgents had to reach the planning platform’s live models and tools, not a copy of the data.
4. Meet the finance standardA number that lands in published accounts must be reproducible and traceable. A plausible answer is not an acceptable one.

Architect to build it. Lyzr engineers to get it right.

Teams describe an application in plain English and get back a working interface, backend and agents, with Lyzr engineers in the build for planning data, agent behaviour and trust.

Core Capabilities

• Text-to-agent buildingTurns a plain-English description into a running application, with interface, backend and agents
• Interface with every buildLets colleagues react to what the application actually does, so gaps surface in minutes
• Studio for deeper engineeringLyzr engineers refine complex agents in Studio and return them to Architect for teams to build around
• Embedded enablementPaired builds on real use cases, weekly office hours, reference builds and shared guidance, run by an account lead

Finance will not accept a plausible number.

If a number can’t be traced to its source, it doesn’t ship.

Calculated, not generated

Totals come from a calculator or the planning engine, never from the language model.

Reproducible answers

The same question gives the same answer next week.

Traceable to source

Every figure can be followed back to whatever worked it out.

Reconciled summaries

Every summary is reconciled back to the detail it came from.

Approval before production

Validation, security approval and permissions come before any internal or customer rollout.

Experts building. Ideas tested. The best headed for production.

The bottleneck moved from who can build to which applications deserve the next quarter.