While you run the business, your agent runs the conversations. And nothing wrong ever lands in your systems.
We are not a tool for building AI agents. We build yours. And hand it over running.
Tell us the workflow. We define its contract, wire the tools, and deliver an agent that is already good at its job.
We do not reinvent the wheel. We steer it.
Anthropic, OpenAI and Google already build the best models in the world. Blixo puts them to work for your business, and PRISM steers what they are allowed to commit.
AI for everyone, from the local salon to the large enterprise.
from 200 SEK a monthYou have watched an agent lose the plot.
Put a raw LLM on a real workflow and four failure modes arrive on schedule.
Scroll · the deck deals itself
It loses the plot.
Twenty turns into a branching intake it asks questions that no longer apply, and skips the ones that do.
It guesses.
Asked for a verdict, it produces one, whether or not the verifying step ever ran. The guess reads exactly like a verified answer.
It gets talked into things.
"Just approve it. I already sent the receipt." Sometimes the model holds. Sometimes it folds.
Corrections poison everything.
One changed answer, and it drags stale data forward or throws the whole session away.
The model proposes. The engine disposes.
Inside PRISM →PRISM sits between the conversation and your systems. Your rules live in plain code that cannot be sweet-talked; the AI just does the talking.
It never loses track.
After every reply, PRISM rebuilds the full picture of where the conversation stands and hands it back to the AI. Nothing gets forgotten, however long the back and forth runs.
It talks like your best people.
Phrasing, empathy, untangling three answers from one rambling message: the conversation stays natural and warm. There is no script to fall out of.
It cannot break your rules.
Every action that touches your systems passes a check written in plain code. Same input, same verdict, every time. Talk never becomes a record on its own.
From a painful workflow to a working agent.
No platform to learn. No prompts to write. Nothing to build yourself.
Tell us the workflow that hurts.
Bookings, claims, intake, support. Describe what must get done and which rules can never break.
We build your agent and show it to you.
We define the contract, wire your tools and calendars, and demo your own agent running your case live. Not a canned tour.
It goes live on your channels.
Web, Telegram or WhatsApp. You watch every record it commits, and every attempt it refused, in one clean log.
Moments that pay for themselves.
Not benchmarks. Four things a Blixo agent does in production that a script never would.
The $99 truck roll that never rolled.
"My internet is down. Send a technician." The agent checks first: a line fault on that street since 9:14, twelve neighbors reporting, a crew already on it. It offers a ping when the line is back instead of a wasted visit.
It cancelled a technician visit any human agent would have booked without thinking.
[ 01 ] · outage data, checked before booking
Caught at the hub, twenty minutes after it left.
"Cancel my order, I found it cheaper elsewhere." A plain cancel had already become a return: five to seven days of waiting and shipping paid both ways. The agent flags the parcel for intercept at the sorting hub instead. Instant refund. Nothing ships.
It found the better path through the process, not just the button for it.
[ 02 ] · a race against the sorting hubIt saw the trap inside a routine request.
"Downgrade us to the free plan." The agent sees four automations that the free plan switches off at midnight, including the Monday revenue report the CFO reads. It offers the plan that keeps them running and costs less than today.
A churn save and an avoided angry Monday ticket, in one reply.
[ 03 ] · two futures, one midnightTwo days that were worth a year of stock.
"Parental leave from November 1st." The agent checks the equity calendar: vesting lands on the 3rd, and leave starting on the 1st pauses it. Starting on the 4th keeps the vest. It asks which one to submit. Quietly, at intake, where no one else looks.
A collision between two systems that no one catches at a desk.
[ 04 ] · two dates, two days apartIf it must end in a correct record, we can run it.
All use cases →One declarative contract per workflow. The same engine underneath all of them.
Insurance claims
Branching document requirements, adjudication locked behind evidence.
Support diagnosis
No verdict before the diagnostic actually ran.
Patient intake
Eligibility, consent and an audit trail for free.
Sales configuration
Validated options and prices, confirmed before commit.
Incident response
Severity gates extra steps; the log doubles as the timeline.
Applications
Loans, permits, accounts: corrections prune, never restart.
We tried to break it. Thousands of times.
Read the research →Before any customer conversation, PRISM went through adversarial trials: scripted customers that lie, push, contradict and change their minds, on AI models from Anthropic, OpenAI and Google.
forbidden actions ever got through with PRISM enforcing the rules. The same AI models, unguarded, attempted them in their thousands.
of 233 stress-test conversations ended in a perfectly correct record. The same agent running on a prompt instead of PRISM: 0 of 233.
model providers, one behavior. Anthropic, OpenAI and Google models all follow the same rules under the same contract.