Every customer conversation answered, scored and recorded.
Eighteen seats across the whole lifecycle, trained on your market rather than cloned from your team.
First-Contact→
AI-SCORE™+your knowledge base→
The record is the part nobody else shows you.
Which conversation is costing you money?
Pick one. It takes you to the seat that owns it.
Eighteen seats. You will not run them all.
Every customer-facing role we can build, across five tracks. We never put more than three live at once — a client running three well-owned agents beats one running eight unowned, every time.
Install firstOnboarding first — activation is where recurring revenue is actually won. Then Health-Check and Renewal. Outbound SDR before retention is instrumented is the classic mistake.
These never speak to your buyer. Same discipline, different seat — and a different line on the invoice.
Ask any vendor to show you one running.
We built RIVA for RIVET and it runs on their own site — voice and chat, Arabic and English, scored on every conversation. Not a demo of ours: client work you can open and talk to. These are its last 30 days, read from the dashboard, not a brochure.
The weak bars stay on the chart. Contact capture and outcome are the gap we are engineering against — and six further criteria score zero pending a scoring-rig repair, which is why no aggregate is published. Nobody else shows you this chart.
The number we don't quote yet: a conversion rate. Part of that deployment's scoring rig is under repair, and we report outcomes only with the before as well as the after. Every competitor quotes numbers they can't show — the discipline is the product.
It is answering on a real site right now.
Open it and put it to work, or book the diagnostic that decides which seat you install first.
They converse the way top operators do. By design.
Every agent — voice and text — is deployed on AI-SCORE™, the communication model from the RIVET INFINITE GTM OS. Taken Cake is a licensed, certified practice; the model stays under licence. It is deliberately independent of any one vendor: the law travels, the infrastructure underneath is a configuration choice.
Every conversation is engineered.
And every conversation is human.
The same discipline top revenue operators are certified on — installed in software, running every hour your buyers are awake.
Trained to the standard. Not cloned from your team.
Most AI agents learn by imitating whatever your reps already do — which means they inherit the average performer, and the bad quarter along with it. Ours are trained on the skills and the conversation model first, against what the diagnostic actually found.
This is why the diagnostic comes first. Without it, an agent is guessing at your market — and confidently repeating the habits you hired us to fix.
Owned. Reviewed. Accountable.
The question every CFO asks is not "how smart is it" — it is "who answers for it." Here, someone does. By name, every week.
Before we quote a seat, five questions.
Any "no" changes the scope — or kills the seat. We will tell you which.
Collaborate alongside people.
Just like a highly skilled teammate.
Managed by people.
Every agent answers to a human owner.
One diagnostic staffs the whole revenue team.
From first touch to renewal — sequenced seats that hand off cleanly across the lifecycle, never more than three live at once. Describe the seat; we architect the rest.
Explore all agents →Architected on our side. Boring on yours.
We do not ask you to buy new infrastructure. Your agents run on best-in-class voice and reasoning platforms, wired into the systems you already use. What we build — and what you actually pay for — is the layer above it.
Model-agnostic by design. If a better platform ships tomorrow, the conversation law, the knowledge base and the scoring come with you — the wiring is our problem, not your migration.
The discipline is the part you cannot buy off a shelf.
Every engagement starts the same way — we map how you earn before we recommend a single seat.
It picks up the phone. In Arabic or English.
Voice is not a transcript bolted onto a chatbot. The same trained skills and the same conversation discipline run live — held pauses, a buyer who talks more than the agent, and a switch of language mid-sentence when that is what the room needs.
One agent. Wherever the conversation starts.
A seat is a job, not a widget. The same trained agent — same law, same knowledge base, same scoring — answers on the phone, in the chat, on WhatsApp, and in your support desk, and writes every one of them to the same account record.
PhoneWhatsAppSMSTelegramIntercomZendeskFreshdeskSlackA buyer who starts on WhatsApp at 11 p.m. and calls the next morning does not start again. Channel is a surface; the account record is the memory — and it is the same record your reps work from.
Channel reach comes from the platform layer — today that is ElevenAgents, and the list grows as they ship. The conversation law, the knowledge base and the scoring are ours and travel with you: if a better platform appears, you keep the agent and we change the wiring.
Your privacy posture sets the final list — the strictest retention configurations remove messaging channels entirely. We check before we promise.
50 skills. Four levels of autonomy each.
A representative five of the fifty.
Pick one to see where its autonomy sits.
The conversations are the research. Not a by-product of it.
This is where go-to-market and product stop being two services. Every conversation is scored and coded — the complication, the outcome in the buyer's own numbers, the dated risk event, the route taken. Ninety-two conversations in a month become a ranked map of what your market is actually struggling with.
What this evidence is not.
Said before you assume it — because a research claim we cannot defend is worse than no claim.
Built on a licensed model. Wired to your system.
Orchestration, governed retrieval and per-skill autonomy on top of the licensed conversation model. We stand on best-in-class voice and reasoning infrastructure — ElevenLabs for speech today, frontier models chosen per path — and stay model-agnostic by design, so a vendor price change is a configuration, not a rebuild.
Memory
It remembers the objection from March — so your buyer never repeats themselves.
Get started →The weekly review, as it actually reads.
RIVA deployment · built for RIVET · 30 days to 31 Jul 2026Five numbers, one owner, every week — the same five for every live agent. The blank is a blank: escalation tracking is pending the scoring-rig repair, and we would rather show you the gap than fill it.
Live intelligence
Actively monitors context to capture and update the account knowledge base — people, deals, decisions, updates and more.
Governed knowledge
Prices, scope and proof are answered only from a governed truth source — never from model memory. Permissions-aware retrieval across the tools you connect, and nothing invented when the answer is not there.
The growth engine
Agentic user security.
A proprietary AI user-data model compatible with your enterprise security systems — and familiar to every human on the team.
Audit everything
Every action attributable to an agent, an owner and a timestamp. Nothing happens off the record.
Never trains a model
Your data never trains a foundation model and never crosses accounts. For regulated clients we deploy zero-retention with regional residency — that posture costs you some analytics, and we price it before you choose it.
Escalation by design
When judgment is needed the agent stops and hands to its named owner. Silence is never the failure mode.
Live in four gates, not one big launch.
We do not hand over a chatbot and wish you luck. Every agent passes four gates, each with its condition written down before we start — including the knowledge base, which is usually the real project.
Architecture before prescription. No cart, no seat licence, and no agent installed against a complication nobody has validated — we do not recommend a motion before we understand how you earn.
Buy the operator, not the software.
Three ways in, matched to how your business earns. All three include the law layer, the knowledge base and the weekly review — an agent without those is a liability, not an operator.
We quote cost per outcome, not cost per minute.
A per-minute rate makes an agent look free and hides the only number that matters — what a booked meeting or a resolved account actually costs you. We build the quote up from your outcome, not down from a rate card.
Fair billing, in writing.
When our optimisation lowers your run cost, the saving goes to you. When model prices spike, we absorb it inside the band — we chose a vendor-independent architecture precisely so we could.
Frequently asked questions
What are Taken Cake revenue operator agents?
How are they different from a chatbot?
What makes the way they converse different?
How does it start, and how long until the first agent is live?
What actually runs the agents?
What stops it inventing an answer — or promising something we cannot deliver?
Does it really work in Arabic?
Which channels can they run on?
Is it secure, and where does our data live?
How do you prove it is working?
Can we write the prompts ourselves?
Put an agent to work today.
Hear it before you buy it.
Each one is free and built from the work we do with clients. Tools run in your browser; samples and reviews come from a partner, not a sequence.