Work across the stack
Agents complete tasks that span several applications in one pass, so the metric moves without waiting on hand-offs between teams.
Engineer AI around the outcomes you measure
We engineer agents around one number your business already tracks, then operate them in production and report against that number every month.
What we engineer
Agentic AI that fits the way your enterprise already works
Legacy systems included
Agents work through the existing interfaces of older applications, so the processes that weigh most on your metric come within reach.
Your definitions, your baseline
We agree the baseline with you before any agent goes live, using the definition of the metric your finance team already trusts.
Why the number moves
Results that hold once live
Groundwork that has carried real load
Each of the sixteen layers has handled production traffic in an earlier deployment, which is why early results tend to last.
A baseline worth comparing against
Because each PYZO product already reports in other deployments, we know what a realistic improvement looks like before we commit to a number.
Reporting your teams can verify
Because the agents operate inside your environment, your own teams can reproduce every figure in our monthly report.
Where the number moved
See all case studiesGoverned outcomes, proven in production
81% reduction in TAT with a voice-first grievance protocol for banking
81%
Lower turnaround time
2 min
Average registration time
12+
Indic languages
A multilingual, voice-first grievance protocol that ensures audit-ready execution in adherence to complex regulatory mandates for tier-one banking.
Read the case studyThe path to production
We operate what we engineer
Discovery
Discovery ends with a written outcome and the metric we will report against.
~1 week
Prove it on real data
We engineer against your real workflow, with its actual data and its edge cases.
~2 weeks
Go live
We move the proven system into production without your data leaving your environment.
~1 week
Validate
We test under real conditions and record the evidence your reviewers will ask for.
~2 weeks
Operate & iterate
We operate the system and report against the number agreed at the start.
Recurring
From the blogField notes from the people
All blogs
