Manual research
Reps spend too much time gathering account context before they can actually sell.
GTM Efficiency Engine
Make the GTM team materially more efficient.
We build an AI-assisted automation layer across lead-to-conversation workflows, so sales time shifts from research and admin to qualified conversations.
Book Launchpad List building & research
Account enrichment
CRM data entry
Personalized first lines
16h per week · 64h per month back per rep
Manual work vs. AI-assisted automation, task by task.
What costs time and revenue today.
Incomplete CRM data
Missing firmographic and technographic context weakens routing, prioritisation and outreach.
No qualification layer
Inbound and outbound signals are not scored or routed fast enough to create momentum.
Today → after
From daily constraint to a dependable revenue system.
Today
- Manual research
- Incomplete CRM data
- No qualification layer
The shift
Clear decisions, a defined process and outcomes the team can see.
Afterwards
- Automated research
- Cleaner CRM data
- Faster routing
How the shift is built.
Every phase has clear deliverables: no open scope, no hourly ambiguity.
Book Launchpad 1
Phase 0 · 30 min
Discovery
We assess workflows and automation potential to identify the highest ROI lever.
2
Phase 1 · Week 1-2
Strategy & audit
Workflow audit and gap analysis quantify where time is lost and where automation matters.
3
Phase 2 · Week 3-8
Build & configure
Enrichment pipelines, routing, automations and CRM logic are built and tested.
4
Phase 3 · Handoff
Train & transfer
Documentation, team training and handoff make the system operable internally.
What the new operating state delivers.
Automated research
Account context is enriched before reps enter the conversation.
Cleaner CRM data
Critical fields are populated and maintained automatically.
Faster routing
Relevant leads are evaluated and assigned within seconds.
Cleaner handoff
Marketing-to-sales transitions run with context and less manual coordination.
What you actually get.
Concrete deliverables, not a vague scope of work.
- Workflow audit across every manual research, enrichment and routing step
- AI-powered research automation: company news, tech stack, org structure, trigger events
- Multi-source enrichment pipelines for firmographic and technographic fields
- Automated lead scoring, classification and routing within seconds
- Full documentation and team training for independent operation
- Clean marketing-to-sales handover without manual juggling
- Optional light ongoing maintenance after handoff
Proof, not promises.
Via Clay-integrated, targeted outbound in HubSpot.
From manual research to an AI-powered system.
Who this is built for.
- Active SDR or AE team with existing pipeline
- Revenue leadership can invest setup time
- HubSpot CRM is already in place
- Goal is more pipeline with the same team
Does this match your situation?
Book LaunchpadFree 60-minute Launchpad · No pitch · Clear fit / no-fit answer
Questions we get before every engagement.
Is this a setup or an ongoing engagement?
Unlike our LinkedIn and outbound engines, this is a setup-plus-handoff engagement. We build the system, train your team and hand it over — with optional light maintenance after.
Do we need active SDRs or AEs already?
Yes. This engine is built for teams with existing pipeline that is being worked inefficiently — not for generating net-new demand.
What if our CRM data is already messy?
That is exactly what phases 1-2 solve: multi-source enrichment and deduplication are part of the build before automation sits on top.
How much time does our team need to invest?
Depending on scope, typically 10-20 hours for revenue leadership or RevOps across the whole project — most of the technical work sits with us.
← Back to Pipeline Generation
Part of the system.
This service creates standalone outcomes. Together with the others, it forms the full operating system.
Guides for the decisions behind scalable revenue.
Comparisons, playbooks and calculators for teams that do not want to treat pipeline, HubSpot and sales execution as separate systems.
Ultimate Outbound Guide
There is so much BS on "outbound is dead" on LinkedIn right now.
Our COO Florian Lussi wrote the most hands-on & helpful guide specifically for B2B entrepreneurs that I know of.
Get your guide for "dark secrets" on how to:
- Get messaging that converts
- Identify, source & enrich ICP leads
- Decide on email "vs" LinkedIn "vs" calls
- Leverage AI to scale outbound efficiently
LinkedIn as an Integrated Go-to-Market Engine
Only about 5% of your market is actively buying right now. The other 95% face the same problem, but do not yet have a concrete reason to address it. Whether you make the shortlist in 6, 12, or 18 months is decided before that moment. This is where conventional performance marketing ends—and where demand generation on LinkedIn begins.
Signals Don't Tell You Who Wants to Buy. Here's What They Actually Tell You
Open any sales newsletter today and you'll find the same promise: monitor "buying signals" and "intent data", then pipeline will follow. The vendors selling these tools have trained an entire generation of GTM teams to believe that a website visit, a LinkedIn profile view, or a competitor keyword search means someone is ready to buy.
It doesn't.
Could your company be the next operating system story?
Use a free 60-minute Launchpad to clarify the revenue constraint, fit or no fit and the right next step. No pitch.