Fig. 1 — exploded view · the revenue stack

Revenue operations that run on agents, not spreadsheets.

Momentumn builds AI-native go-to-market systems: agents, automations and infrastructure that take the manual work out of your revenue organization and leave better information behind.

Production systems, not proofs of conceptDeployed in your environmentSpain · working across Europe
Momentumn · sheet 1Fig. 1 · exploded view
10AI Revenue Operationsagents own hygiene · forecast · reportingOpen sheet
20AI Agentsenrich · research · qualify · routeOpen sheet
30GTM Engineeringintegrations · signals · pipelinesOpen sheet
40Salesforce Automationflows · apex · AI on the recordOpen sheet
50Revenue datayour CRM · your accounts · the datumOpen sheet
Assembled0%Exploded
drag · scroll · click the top layer to run a lead
All sheets
Assessfixed-scope auditBuilddeployed in your stackOperatemonitored · improvingOutcomeless manual work · better data
Fig. 2 — what makes Momentumn different

Built like infrastructure, not like a pilot.

Four things a revenue team notices in the first month: where the systems live, how fast a lead moves, how clean the record is, and who it lands with.

01 · your environment

Runs inside your stack, owned by you

Every agent and automation is deployed in your CRM, your cloud and your accounts. No shadow platform, no credentials held on our side, nothing to migrate later.

02 · forty-one seconds

From form fill to the right rep in under a minute

Enrichment, research and routing run the moment a lead lands. Reps stop chasing data and start the conversation with a brief already written.

03 · complete records

Automation that leaves cleaner data behind

Every field an agent touches is validated and logged. We measure record completeness before and after each build, because a fast pipeline full of gaps is still a broken pipeline.

04 · deterministic routing

Territory, segment and capacity, applied every time

Routing rules are code, not tribal knowledge. Conflicts fall back predictably, and every assignment carries the reason it was made.

Fig. 4 — the automated lead pipeline

A lead arrives. Forty-one seconds later it is with the right rep, with a brief attached.

Within minutes it is enriched, researched and sitting with the right account executive. No one touched it.

  • 01Intelligent enrichment from your chosen data providers, merged into one clean record.
  • 02Account research by AI agents that read the company's site, hiring, funding and news to write a short brief.
  • 03Automated routing to account executives by territory, segment and capacity, with every decision logged.
Fig. 4 · schematic
Fig. 5 — engagement model

Assess. Build. Operate.

A three-phase engagement that ends with a working system in your environment and a team that keeps improving it.

PHASE 1

Assess

A fixed-scope audit of your revenue processes, data and tooling.

You getA prioritized list of automation opportunities with the business value of each.
PHASE 2

Build

Systems built and deployed directly in your environment, with defined outcomes.

You getFully operational agents and automations, documented and handed over.
PHASE 3

Operate

Ongoing monitoring, iterative improvement and expansion of what the systems do.

You getAgentic systems that keep getting better after launch.
Read about each phase
Fig. 6 — by team

What changes for each team

The same systems remove different chores depending on where you sit. Here is what a working week looks like once the agents are running.

Sales

Reps open a lead that is already enriched, researched and scored. Follow-ups, meeting prep and CRM updates are drafted for them, so selling time goes up and admin time goes down.

Marketing

Every inbound lead is qualified and routed within minutes, not days. Campaign attribution stays clean because records are complete from the first touch.

Revenue operations

No more Monday data cleanup. Pipeline hygiene, forecasting inputs and reporting refresh themselves, with an audit trail for every change.

Customer success

Handoffs arrive with full context. Usage signals trigger expansion and risk plays immediately instead of waiting for the next quarterly review.

Fig. 7 — signal capture

Signals your team should act on, captured automatically

Most buying intent is visible long before a form is filled in. GTM engineering turns scattered events into structured triggers that agents and reps can use the moment they happen.

  • 01Product usage — feature adoption, seat growth and activity drops written back to the account.
  • 02Company events — funding rounds, leadership changes, new job posts and technology changes.
  • 03Engagement — pricing page visits, documentation reads and email replies, matched to the right person and account.
Fig. 8 — accountability

Every action is logged, explained and reviewable

Agents that touch revenue data need to be accountable. Each of ours writes what it did and why to the record, works inside a defined scope, and escalates to a human when it is unsure.

agent log · lead 4812production
  1. 09:41:02new lead received acme-robotics.com
  2. 09:41:04enrich-agent merged 3 providers · 42 fields · 0 conflicts
  3. 09:41:09research-agent read site, 6 job posts, 2 news items
  4. 09:41:40brief written · 190 words · saved to Salesforce
  5. 09:41:41qualify-agent ICP fit 87 · intent high · reason logged
  6. 09:41:43routed to EMEA enterprise · capacity ok · AE notified
  7. 09:41:43✓ pipeline complete in 41 s · 0 human touches
  • 01Defined scope — an agent does one job with clear inputs and outputs, nothing more.
  • 02Approval steps for anything sensitive: outbound messages, ownership changes, deletions.
  • 03Evaluation sets run before every change so quality does not drift as models update.
Fig. 9 — before / after

Less manual work. Better information.

Automation is only worth it if the data ends up cleaner than before. We measure both, before and after every build.

Before

Time to first touch
2 days
Complete lead records
38%
Rep admin per week
8 h
Stale opportunities
1 in 3

After

Time to first touch
min
Complete lead records
97%
Rep admin per week
1.5 h
Stale opportunities
<5%

Illustrative figures showing the kind of change we design for; real targets are set during the assessment.

Fig. 10 — production

Built to run in production

Revenue systems fail quietly and expensively. Everything we deploy comes with the guardrails an engineering team would expect.

Your environment

Deployed in your cloud, your CRM and your accounts. Credentials and data stay with you.

Monitoring and alerts

Failures, drift and unusual volume are surfaced to us before reps notice anything.

Documented and owned

Architecture notes, runbooks and handover so your team can extend what we built.

Fig. 11 — compatible tooling

We build on the tools you already run

No new platform to buy. We connect and extend the systems your revenue team lives in every day.

SalesforceHubSpotMarketing automationData warehousesProduct analyticsEnrichment providersIntent dataSlack and emailCalendarWorkflow orchestrationLLM providersYour internal APIs
Note

Proofs of concept show what is possible. Production systems change how a team works. We only build the second kind.

The Momentumn operating principle
Fig. 12 — questions

Questions we hear first

Read the full FAQ

Do we need Salesforce?

No. Salesforce Automation is one of four services; the others work with HubSpot, custom stacks and data warehouses.

How long is the assessment?

A few weeks, fixed scope and price, ending in a prioritized opportunity list with the business value of each item.

Who owns what you build?

You do. Everything runs in your environment with documentation and handover.

What if an agent gets something wrong?

Sensitive actions require approval, everything is logged, and a human is brought in when confidence is low.

Next step

Start with a fixed-scope assessment.

In a few weeks you get a prioritized list of automation opportunities, each with its business value. No commitment beyond the audit.

Book an assessment