Classify tickets
Assign category, priority, escalation signals, and handling notes for incoming support requests.
// one real workload
Find what your agents can reuse.
Bring one costly agent workload. We will show what the agent has learned, which reasoning and processes can become reusable, and where that knowledge can save time and model spend. Your current model keeps answering while we measure.
Timing depends on representative traffic and technical access. Participation, scope, and commercial terms are agreed before the assessment; joining does not imply a customer result.
// best first workloads
Narrow enough to measure. Important enough to matter.
We prioritize agent work that repeats often, produces an answer a person can review, and has a clear owner.
Summarize records
Read authorized customer context and produce a consistent internal brief for a person to review.
Repeat research
Follow the same research steps while still fetching fresh information when the facts may have changed.
Not a good first fit: payments, account deletion, production deployments, legal commitments, unreviewable creative work, or workloads too novel to establish a baseline.
// what happens
One week. One workload. One clear answer.
Exact timing depends on traffic volume and technical access. Not every workload repeats enough to justify reuse, and we will say so plainly when it does not.
Choose the workload
Name the request, expected output, owner, weekly volume, current cost, and how your team judges a good answer.
Connect without changing answers
Punk measures compatible requests while your current model remains responsible for every user-facing answer.
Find the repetition
We group work that follows the same pattern and calculate where model time and money are being spent repeatedly.
Test a reusable result
When the evidence supports it, Punk compares a reusable result with completed and fresh model work without showing it to users.
Make one decision
Safely reuse a narrow class of proven work, collect more examples, or keep the workload entirely with your model.
// what each side brings
A focused working session.
Your team
- One person who can judge whether an answer is acceptable
- One technical owner for the connection
- Representative requests or approved past examples
- A list of systems the agent reads or changes
- Fast feedback when results differ
The Punk team
- Help connecting the workload safely
- A clear view of what repeats and what it costs
- Conservative savings estimates
- Side-by-side testing when the evidence supports it
- A written recommendation for what to do next
// what you receive
A plain answer backed by real work.
Current cost
Request volume, model usage, response time, and where the numbers came from.
Repeated work
The patterns found, how often they occur, and what is excluded.
Test results
How reusable results compared with model answers and where they differed.
Next step
Reuse a narrow class of work, collect more examples, or keep using the model—with a named owner.
// see what repeats
Tell us about one agent workload.
We use this only to assess your request. Please do not include secrets, customer records, or production credentials.