Honest numbers. Defensively engineered systems.
Almost everyone has adopted AI. Almost no one sees the payback. We exist to close that gap, with systems that reach production and keep their own score. We frame proof as what the category achieves and what your build can target, then publish your own results once your system is live.
Market-level data. Your own results measured and published once live.
What your build can target.
These are published market and category numbers from comparable AI deployments, labeled clearly as representative outcomes, not Aceleron client claims. Your own results get measured by the Aceleron Dashboard and published here once your system is live.
- Published failure-rate studies, AI in production
- Category average, contract and document tools
- Published category data, 12-week boutique window
- Published category data, same delivery window
Representative - market and category level
Defensive engineering: we control for the top causes of failure.
Roughly 88% of AI projects fail entering production. The top causes are scope creep (34% of failures) and data quality (27%). Neither is a surprise if you look for them early. Aceleron is built to look for them early.
Scope creep
We lock scope in process mapping before the build begins. If a new idea surfaces, it queues for the next engagement cycle.
Data quality problems
We assess data health during discovery. If the input is dirty, we fix it or design around it explicitly, not at deploy time.
No human checkpoints
Every automation specifies by design which outputs require a human review. Consequence, not the team's mood, drives when people stay in the loop.
Accuracy compounds badly
A step at 85% accuracy chained with another at 85% delivers 72% overall. Each step in an Aceleron build targets 95% or above. The difference stacks fast.
Step accuracy compounds. The gap is wider than it looks.
When steps are chained, accuracy multiplies. A 3-step workflow at 85% per step delivers 61% overall. The same workflow at 95% per step delivers 86%. That 9-point gap per step becomes a 25-point swing in your outcome.
Aceleron designs each step to hit 95% or above, which is why we invest in sandboxed testing, adversarial inputs, and grounding in your own verified data before anything touches production.
- 3-step workflow at 85% per stepPoor result: 61% overall
- 3-step workflow at 95% per stepGood result: 86% overall
- 5-step workflow at 85% per stepPoor result: 44% overall
- 5-step workflow at 95% per stepGood result: 77% overall
Illustrative - multiplicative accuracy math
The numbers come from how we build, not from luck.
The same defensive steps run on every engagement. These are the four where the failure causes above get controlled, drawn from our full 7-step delivery process.
Process mapping
We document each workflow in plain language before a line of code is written. Scope is locked, integration points are identified, and data quality is assessed up front.
Design with safeguards
Each automation is designed with verification checkpoints and human-in-the-loop steps at the points where consequences are highest. No guesswork in production.
Sandboxed build
We build in an isolated test environment first. The workflow runs against a copy of your data so errors are caught before they touch a real client file or live record.
Adversarial testing
We deliberately throw edge cases, bad inputs, and off-topic questions at the system to verify it fails gracefully and escalates to a person instead of guessing.
Early adopters get senior attention and a public case study.
Aceleron is early-stage. We do not have published client case studies yet. That means early clients work directly with the partners, get the most careful build attention we offer, and their results become the first published proof on this page once the system is live.
If you want to be an early client and have your results on this page before others, that conversation starts with the free audit.
- Published client case studiesNot yet
- Numbers on this pageRepresentative
- Who you work withThe partners
- Your resultsMeasured, then published
Honest by default
Book a free audit. We run the payback math with your numbers.
We show you the category benchmarks specific to your workflows, then measure your own results from day one.