The interesting problems are operational
The hard part of applied AI is rarely the model. It is the permission boundary, the escalation path, the record that has to be written back, the case nobody documented. That is the work we are good at.
About us
Sigma Logic AI is an applied AI consultancy. Not a platform, not a reseller - a team that takes a workflow you actually run, builds the system that handles it, connects it to your tools, measures whether it works, and stays to keep it working.
Why we exist
Almost every business we meet has already tried something with AI. A chatbot that customers learned to route around. A pilot that impressed in a meeting and never left the notebook. A subscription to a tool nobody opens. The ambition was never the problem.
What is missing is the unglamorous middle: connecting to the systems of record, deciding what the system is permitted to do, building an evaluation set from real cases, defining what happens when confidence is low, and watching quality after launch when models and products both keep moving.
That middle is where we work. It is less exciting than a demo and it is the entire difference between a project that shows well and a system your team relies on without thinking about it.
Systems we routinely integrate with
What we believe
The hard part of applied AI is rarely the model. It is the permission boundary, the escalation path, the record that has to be written back, the case nobody documented. That is the work we are good at.
A large enterprise automating a process saves a percentage. A twelve-person company automating the same process gets a person back. We build for the second case, which is why our engagements are scoped in weeks.
Disclosure that a customer is speaking to AI, a reachable human, data that stays where it belongs, decisions that can be explained. These are not add-ons - they change the architecture, so we settle them at the start.
Commitments
Every engagement starts by naming the number we are moving - resolution rate, cost per order, hours returned. If a model improves and that number does not, the work is not done.
Agents are designed to know their limits. Low confidence, sensitive topics and frustrated customers route to a person with the full conversation attached - never a dead end.
We work inside your cloud and your retention rules. No training on your customer data without an explicit, written agreement, and every processing path is documented.
We hand over source, prompts, evaluation sets and documentation. Nothing we build is a black box you can only operate through us.
Who writes here
Let's talk
Tell us what is slow, expensive or error-prone right now. We will tell you whether AI genuinely helps, what we would build, and what it would take - before anyone writes a statement of work.