Automating a high-volume back-office process with AI, and knowing what it will cost to run
Fidget Labs helps mid-market and enterprise operations teams automate high-volume back-office work, starting with the AI Impact Audit: four weeks, €15,000 or $20,000 fixed. We measure the process in your own systems, then deliver a costed baseline, the automatable share step by step, a written run-cost forecast for the automated version, and a priced build. AI Implementation then builds it in fixed-price phases: rules in code where rules work, a model only where judgment is needed, and an evaluation harness you own.
You are probably here because
- Dozens of people do substantially the same work, and the queue keeps growing
- The headcount request was declined and someone said to use AI instead
- A pilot worked and nobody has priced what it costs to run at full volume
- The data is sensitive and cannot casually leave your environment
What we do
- Instrument one named process and measure volume, cycle time, and cost per unit
- Mark each step as automatable or not, with a confidence level and the reasons
- Forecast the run cost of the automated version in writing, before anything is built
- Build it in fixed-price phases, with an audit trail and an evaluation harness your team keeps
How you can engage us
AI Impact Audit
€15,000 or $20,000 · 4 weeks
You are paying for AI every month, or fifty people are doing the same manual work, and nobody can say what it costs or returns.
Scope and termsDeliveryAI Implementation
Scoped or Scoped · Fixed-price phases
The audit priced it. Now build it.
Scope and termsStart hereAI Opportunity Map
€5,000 or $7,500 · 2 weeks
Leadership wants AI, and nobody can yet name the use case worth paying for.
Scope and termsWhere we have done this
- Deterministic vs. AI: where rules beat models on cost and reliability
- Three weeks to build, three months before anyone trusted it: what production agents need
- Our own back-office agents, including what failed in production
Questions
How much does it cost to run an AI workflow in production?
It depends on volume and on how much of the work genuinely needs a model. Most of the cost comes from sending rule-based work to a model. The AI Impact Audit forecasts the run cost in writing before the build, and AI Implementation is held to that forecast.
Do you start with customer-facing AI?
No. We start with internal and back-office work, where the volume is high, the savings are measurable, and a mistake is caught before a customer sees it.
Can it run without our data leaving our environment?
Yes, where the process requires it. A design that puts rules in code and calls a model only for judgment can run with models hosted inside your own environment.
Other situations we help with
Tell us where the build is stuck.
Describe the situation. We will tell you which engagement fits, in your currency, within 1 to 2 business days.