What agents do

Agents that do the work, across your stack.

AI between the systems you already own, governed and owned by you.

The Audit selects. ROI and difficulty sequence the build. Nothing ships all at once.

30–50%

more output, same team

One layer

governed, EU AI Act ready

You own it

Build-Operate-Transfer

1

Connect

AI between your systems

2

Control

One governed layer

3

Create

Same team, 30–50% more

How it is organized

Connect. Control. Create.

One connective layer between your systems, one governed control plane, and the output of a team 30 to 50 percent larger.

AI layer
Salesforce
Microsoft 365
SharePoint
Slack
HubSpot
Zuora

Connect

AI between your systems. Federate what you already own instead of ripping and replacing.

Control

One governed layer. Access, models, and PII in your control, audit-ready for the EU AI Act.

Create

Same team, 30 to 50 percent more. Agents do the work inside your stack.

Catalog · GTM · the land motion

Growth, revenue, partners, orchestration.

Growth engines

  • Outbound (signal + intent)
  • Content engine (blog, newsletter, social)
  • AI SDR assist (classify, book, route)
  • Speed-to-lead (first touch in seconds)
  • Lead scoring (fit + intent, explained)

Revenue ops

  • RevOps substrate (scoring, routing, forecast)
  • Deal origination (research + outreach)
  • Proposal automation (CPQ-lite)
  • RFP assistant (from your knowledge base)
  • Pipeline analytics (coverage, slippage, churn)

Partner + market

  • Partner ops (recruit, onboard, activate)
  • Market intel (M&A, funding, moves)
  • Proof engine (stories to campaign assets)
  • Competitive intel (live battlecards)
  • Whitespace scanner (adjacency maps)

Orchestration

  • Meeting intel (actions, summaries, CRM sync)
  • Dashboards (pipeline + engine health)
  • Knowledge base (unified search)
  • Voice AI (call summaries, coaching)
  • Agent orchestrator (cron + event loops)

The Audit selects. ROI and difficulty sequence the build. Nothing ships all at once.

Catalog · company-wide · the expand motion

Then it expands across the company.

Finance

  • Close narrative
  • Invoice chase
  • Forecast assist
  • Reporting pack
  • Spend watch

Legal + compliance

  • NDA triage
  • Contract review
  • Compliance check (EU AI Act, GDPR)
  • Vendor check
  • DSR responses

Customer + support

  • Ticket triage
  • Response drafting (in your voice, cited)
  • KB articles
  • Escalation packs
  • Customer research

People, ops + exec

  • Onboarding packs
  • Policy lookup
  • Process docs (SOPs + RACI)
  • Exec daily brief
  • Board pack assist

Land in GTM. Expand company-wide. Same gateway, same governance, same skill library.

Every seat gets a view

A dashboard for every seat.

Customer-360

For the AE and SE.

Cockpit

For the SDR.

Demand board

For Marketing.

Health board

For the CSM.

Channel board

For the Partner manager.

Exec board

For Leadership.

Live artifacts, read-only, pulled straight from your systems. One board per role.

Mechanics, not magic

Sixteen manual steps, one agent loop.

Signal to closed-won, end to end, as one governed loop:

01Source account
02Enrich contacts
03Verify emails
04Score fit
05Pull signals
06Match playbook
07Generate copy
08Personalize
09Schedule send
10Send + track
11Classify reply
12Book meeting
13Update CRM
14Alert rep
15Log outcome
16Retrain loop
One orchestrated loop, governed end to end. Step 16 retrains step 01, so your team starts the day with warm work, not a cold list.

149 signal types

Every account watched across a wide signal surface.

75+ data points

Per account, before a single message goes out.

Instrumented

Every stage measured, every loss fed back to retrain.

Every hand-off logged, every number traceable.

The functions around sales

One front door for approvals, in Teams or Slack.

Request in, AI triages, routed with context, human with an SLA. Phase 1: triage, draft, route. Phase 2: thresholded auto-approve. No more chasing DMs for sign-offs.

1

Request in

Teams or Slack

2

AI triages

Drafts and routes with context

3

Human with an SLA

Decision, logged

See it at work

What an engine looks like when it’s running.

Each engine runs between the systems you already own and reports into one view. Pick one to see the shape of the work — representative dashboards, configured per client.

AI Content EngineRepresentative dashboard · configured per client
128
Assets shipped / mo
14
In review
3.2h
Avg time to publish
+41%
Engagement lift

Output — last 8 weeks

W1
W2
W3
W4
W5
W6
W7
W8

Recent assets

AssetChannelStatus
Q3 launch narrativeBlogLive
Comparison vs legacyWebLive
Webinar follow-up seriesEmailReview
Founder POV threadLinkedInDraft
AI Outbound EngineRepresentative dashboard · configured per client
3,410
Leads enriched
12
Active sequences
9.4%
Reply rate
47
Meetings booked

Outbound funnel — this month

Sent3,410
Opened1,740
Replied321
Booked47

Active sequences

SequenceLeadsStage
SaaS FR – Series B420Replied
DACH ISV expansion610Meeting
PE portfolio RevOps280Sequenced
Enterprise reactivation350Opened
AI RevOps EngineRepresentative dashboard · configured per client
18,200
Records standardized
€4.6M
Pipeline value
92%
Forecast accuracy
96%
Data-quality score

Pipeline by stage

Disc
Qual
Prop
Neg
Won

Data-hygiene alerts

DealStageFlag
Northwind – renewalNegotiationClear
Acme GmbH – upsellProposalMissing ICP
Vertex – new logoQualifiedDup contact
Orbit Ltd – expansionDiscoveryClear
Powered by frontier models

To start

See the first outcome once, and you never go back.