Firedrill

Firedrill Enterprise: test AI agents in a synthetic version of your business

Source: https://firedrill.run/enterprise

A reusable synthetic environment of your systems, workflows and policies. Compare agents and improve how they work before granting access to live systems or sensitive customer data.

Discuss your enterprise environment or see how simulations work.

The proving ground for AI agents

For financial institutions, insurers, fintechs and enterprise teams. We build a reusable synthetic business environment so you can evaluate agents doing your work, within your rules.

Generic demos show a vendor's scenario, not your business. Third-party risk assessments can take months. Assessment timeline research from ProcessUnity and the Ponemon Institute.

Firedrill adds evidence of observed behavior to your existing risk review: your scenarios, agent actions and inspectable outcomes. This does not replace third-party risk management or promise faster approval.

The hero shows a globe representing your business and a matching synthetic replica emerging beside it. Cards for simulated tools, synthetic data, users, permissions, workflows and policies appear around the replica.

Your business, made testable

  • You bring your tools, workflows, policies and requirements, along with user roles, permissions and the agents to evaluate.
  • We build a reusable synthetic business environment with simulated tools and apps, synthetic data and users, reflecting your workflows and policies.
  • You receive agent actions, state changes and policy checks to inspect, plus saved scenarios to reuse in the next evaluation.

What the environment contains

  • Tools and systems: CRM, payments and case management.
  • Users and roles: customers, analysts and approvers.
  • Synthetic records: accounts, claims and transactions.
  • Permissions: who can view, change and approve.
  • Workflows: requests, decisions and handoffs.
  • Policies: your requirements and limits.

Enterprise environments are scoped with our team. Coverage and setup depend on the systems and workflows you need to represent.

Evaluate before production access

Agents interact with simulated services and synthetic records. Route the agent to those services and leave production endpoints and credentials out of the setup. Real customer data, PII and live operations remain outside this evaluation setup. This describes how the evaluation is configured, not a claim that arbitrary agent code is technically isolated.

Compare agents on the same tasks and requirements in a synthetic version of your business.

  1. Define your world: scope systems, data, roles and policies with our team.
  2. Set tasks and requirements: agree what agents should do and what must hold.
  3. Run agents: compare candidates in repeatable, representative situations.
  4. Inspect outcomes: review actions, resulting state and supporting evidence.

Evaluate agents before you buy or deploy

Run simulations in a synthetic replica of your business. Compare vendor and internally built agents against your workflows, policies and requirements. Give candidates the same starting conditions, scenarios and criteria in a reusable synthetic environment.

The four-step overview shows the environment being assembled, tasks and requirements, two candidate agents making tool calls, and execution evidence. Its brief animation progresses left to right and pauses offscreen and in hidden tabs. Reduced motion presents a static view.

Each industry has three proposed evaluations. Each example shows a buyer question, three comparison criteria and related use cases.

  • Banks: Payment disputes, customer onboarding and account servicing. Compare approval handling, missing-information detection and access limits.
  • FinTech: Payment operations, refund handling and reconciliation. Compare failure recovery, refund limits and ledger mismatch detection.
  • Lenders: Application intake, document verification and loan servicing. Compare incomplete applications, conflicting records and repayment changes.
  • Insurers: Claims handling, policy servicing and renewal preparation. Compare missing evidence, permission checks and coverage changes.
  • Brokers: Quote comparison, client onboarding and renewal comparison. Compare client fit, complete briefs and changed terms.

Browse examples using the arrows, a horizontal swipe or the keyboard. The next card is partially visible, and the counter shows your position within each set of three. Switching industries starts at the first example.

These are proposed scenarios, not customer results, measured performance or vendor rankings. Environments and criteria are scoped with each enterprise. Agree criteria, run repeated trials and inspect gaps before making a decision. The industry selector supports keyboard navigation and does not rotate on its own.

Simulations do not guarantee production performance or regulatory approval.

Build it once. Keep learning

  • Compare before buying: inspect shortlisted vendors against your business requirements in the same environment.
  • Test before granting access: explore exceptions, permissions and handoffs through simulated services and synthetic records.
  • Keep improving: rerun saved scenarios after changes to the model, prompt, tools or policies and compare behavior with the baseline.

Start with the work you need an agent to do

Start with one workflow. Together, we'll agree the systems to represent, the scenarios to run and the evidence your team needs to make a decision.

Discuss your enterprise environment

Developers can already connect real agent applications, run simulations with synthetic tools and data, inspect evidence and reuse scenarios. Explore the developer workflow.