Watch every reply get checked before it reaches your customer
Built around your rules, so your team handles only the exceptions.
Pick a problem, then send
The conversation:
What the system sees
AI reads and drafts. CODE checks and decides. PERSON makes the call on exceptions. CUSTOMER answers when asked.
A demonstration with sample conversations and records. All names are fictional. Your pilot runs on your own channel, data and rules. Timings are illustrative.
What would reach your customers unchecked each month
Your numbers, not our benchmarks. Indicative only: the pilot measures the real figures.
How it’s worked out: a prompt-only chatbot has no enforcement layer, so nothing guarantees that the conversations a check would stop are actually stopped. It may decline some, so treat its figure as the upper bound. The governed agent holds every one of them for a person, and your team spends the minutes you enter on each. Messages checked counts each conversation’s reply plus its follow-ups, assuming every conversation goes quiet, so it is also an upper bound. It excludes build and running costs, which the pilot scopes with you.
Start a pilot on your own customer conversations
A focused pilot on one conversation flow, with success measures agreed before we start. Tell us a little about it and we will set up the intake.
- A 30 minute intakePick the customer conversation where an unchecked answer would cost you most.
- Your rules and success targetsShare your policies and a batch of anonymized conversations, and agree what good looks like.
- Run the pilotTest the agent on your channel and data, and judge the results before committing to production.
The engineers behind the agent you just watched
Fission Labs is a product engineering company. We build AI into the way startups, SMBs and enterprises already work.