AI-native operations · Germany · Founded 2026
Most revenue teams still run on people remembering to do things. We build the agents that do them instead: researching accounts, scoring and routing leads, keeping the CRM honest, inspecting pipeline and handling inbound, each one with guardrails and monitoring around it.
01The problem
Most revenue teams are held together by checklists, tribal knowledge and a few people who quietly do more than their job title says. We take those steps and turn them into agents that run every time, the same way, with a human able to step in whenever they want to.
A rep googles the account ten minutes before the call
A research agent has already briefed them, in the CRM and in Slack
Leads sit in a queue until somebody notices
Leads are scored, enriched and routed within minutes of arriving
CRM fields quietly rot and nobody trusts the reports
A hygiene agent repairs records continuously and flags what it cannot fix
Pipeline reviews run on whoever talks loudest
An inspection agent ranks the risky deals before the meeting starts
Inbound gets a generic autoreply and a two-day wait
An inbound agent qualifies, answers what it is allowed to, and books the meeting
02Core areas
Every engagement lands in one or more of these areas. They share the same stack, the same guardrails and the same handover, so a system built in one extends cleanly into the next.
Scoring, routing, enrichment and pipeline inspection run by agents instead of spreadsheets and Slack pings.
Purpose-built agents for research, inbound handling and account intelligence, with evals, guardrails and monitoring.
Outbound, enrichment and hand-off flows across Clay, n8n, enrichment platforms and your data warehouse.
Flows, Apex and integrations that keep Salesforce (or HubSpot) accurate without a human babysitting it.
03The agent roster
None of these are chatbots bolted onto a CRM. Each one is a narrow, well-instrumented worker with a clear trigger, a fixed set of tools and one place it is allowed to write. We compose them into a system; we do not sell them as a bundle.
Every engagement picks the agents that match the leak in your funnel. Our advice is almost always the same: start with two or three, let them earn their keep, then add more.
Trigger: New account, new opportunity, or a rep asks
Builds a full picture of an account before anyone spends time on it: firmographics, tech stack, hiring signals, recent funding, org chart, buying committee and the three things a rep should know before the first call. Writes it straight into the CRM record and posts a briefing to Slack.
Trigger: Every new or updated lead
Scores against your actual ICP, not a generic template. Combines fit (industry, size, stack, geography) with intent (page views, product usage, replies) and explains the score in plain language so reps trust it. Re-scores when the data changes, never silently.
Trigger: Scored lead ready for a human
Assigns the right owner by territory, segment, capacity and account history. Handles the edge cases that break rule-based routers: existing customers, open opportunities, partner-sourced leads, duplicates. Escalates when nothing fits instead of guessing.
Trigger: Continuous, on a schedule
Finds and fixes what decays: stale contacts, missing fields, duplicate accounts, mismatched hierarchies, closed-lost reasons that say "other". Proposes changes with evidence, applies the safe ones automatically, and queues the rest for a one-click review.
Trigger: Weekly, or before any forecast call
Reads every open opportunity like a sales leader would: stage versus activity, close date drift, single-threaded deals, missing next steps, champion gone quiet. Produces a ranked risk list with a suggested action for each deal, so forecast reviews start with the answers.
Trigger: Form fill, reply, chat, shared inbox
Reads intent, qualifies against your criteria, answers the questions it is allowed to answer, books meetings into the right calendar and hands warm conversations to a human with full context. Never invents pricing, never promises what it cannot verify.
04Observability
Getting an agent to work is the easy part. The hard part is making it legible to the people whose numbers depend on it. So we wire in the event log, the approval gates and the drift monitoring from the very first run, rather than bolting them on after something has already gone wrong.
Sample output. Names, timestamps and figures are made up to show the format.
05What changes
These are design targets, not case-study results. We are a young company and would rather say that plainly than dress up a logo wall. The "before" column is the typical starting point we see in revenue teams; the "after" column is what each system is built to hit. Your real baseline comes out of the assessment, and so does an honest answer about which numbers a system will move and which it will not.
Inbound is qualified, enriched and routed while the buyer is still on the site. The first reply is a human with a briefing, not a form autoresponder.
Research, CRM updates and pipeline prep move to agents. Reps spend the recovered hours in conversations, which is the only place revenue is actually made.
Hygiene stops being a quarterly cleanup and becomes a background process. Reporting, territories and forecasting all get more trustworthy as a side effect.
Edge cases that broke rule-based routing (existing customers, partner leads, duplicates) are handled explicitly. When nothing fits, a human decides.
Every opportunity is inspected for risk with a suggested action. Leaders walk in with a ranked list instead of building one live.
06Where it lands
Revenue is one system pretending to be four departments, and the leaks are nearly always at the seams: marketing to sales, sales to customer success, CRM to warehouse. That is exactly where we put the agents.
AEs · SDRs · Sales leaders
The manual version
Reps spend more of the week researching, updating records and prepping reviews than talking to buyers. Pipeline reviews run on anecdotes because the data is stale.
What we typically ship
Demand gen · Marketing ops
The manual version
Leads arrive faster than they can be qualified. Attribution is argued about, not measured. Handoffs to sales lose context and the SLA is a spreadsheet nobody trusts.
What we typically ship
RevOps · Sales ops · Data
The manual version
RevOps is the human glue between systems. Every process change means a new workflow to maintain, every data problem lands on the same three people.
What we typically ship
CSMs · Account management
The manual version
Renewal risk shows up late. Usage signals sit in a product database no one has time to check. Expansion opportunities are discovered by accident.
What we typically ship
07Engagement
No retainers and no platform to get locked into. Every engagement follows the same three stages and ends with a system running inside your own stack.
We sit down with your team, map the current revenue process, stack and data, and write up where agents would remove the most manual work. We also say where they would not help, which matters just as much.
No cost · No commitment
A scoped architecture you can read: which agents, what guardrails, which integrations, how it is monitored and which human checkpoints stay in place. Fixed scope, fixed price, agreed before we build.
Architecture · Scope · Price
We build it, test it against your real historical data, and ship it into your own accounts. Documentation and a proper handover are part of the job. You own every line of it.
Deployed · Documented · Owned
08How we build
A lot of AI automation fails quietly a few weeks after the demo, because it was built to impress rather than to run. These six rules are how we try to avoid that, and they are the first thing we walk through with you in an assessment.
A service is a person doing work on your behalf. A system is something that does the work whether or not anyone is watching. We build the second thing. If it needs us in the loop to run, it is not finished.
One agent that "does sales ops" is a demo. Six agents with one job each, clear contracts between them and a shared event log is infrastructure. We take the boring route because the boring route survives contact with real data.
Everything runs inside the tools you already pay for: Salesforce, HubSpot, Clay, n8n, Slack, your warehouse. Credentials stay yours. When the project closes, there is nothing to migrate and nobody to ask permission from.
Every agent is tested against your historical records before it touches a live one. If it cannot reproduce good human judgement on last quarter, it does not get this quarter.
Agents handle volume and consistency. People handle ambiguity, relationships and anything with a real blast radius. Approval gates are a design feature, not an admission of failure.
Code, prompts, evals, runbooks and dashboards are handed over documented and versioned. Your team can read them, change them and switch off any part. No retainer is required to keep the lights on.
Next step
Tell us about your stack and where the manual work piles up. We will come back with a written view of what to automate first, and what is honestly better left alone.
No cost · No commitment · Written output