[ The Great Unbundling ]

Down with the Frankenstack.

Keep your CRM. Retire the apps bolted around it. One managed AI setup does what those tools promised, inside the systems your team already runs.

[ The problem ]

A CRM plus a dozen bolted-on tools, each sold on a promise nobody had time to set up.

Marketing automation
“Automate your nurture”
Intent data
“Never miss a buying signal”
Call coaching
“Coach every rep”
Sequencing
Proposals
ABM
Attribution
Lead routing
Integration glue

Every one of them brings

Its own invoice
Its own login
Its own data model
An integration that breaks quietly

[ The shift ]

The CRM stays the data warehouse. The apps around it retire.

One managed AI setup does the work those tools promised, inside the systems your team already runs. People ask for what they want in plain language, even by voice.

The brainShared context (your ICP, messaging and rules) plus the agents that do the work.Owner: We build and run it. You own the context.

Commercial data warehouseThe CRM you already have. Any major platform.Owner: You

Thin pipesThe few utilities AI cannot replace, like sending and data sources.Owner: You, at a fraction of today’s stack cost

“Find last year's closed-lost deals where our champion changed jobs, and draft a note to each.”

Drafts are waiting on the deals in your CRM for you to approve.

[ The honest version ]

A few thin pipes stay.

Some jobs are delivery or data, not thinking. Each platform page shows which ones stay for that team, and why.

Email sendingDeliverability needs a dedicated sending service.
Enrichment sourcesContact and company facts come from a licensed feed, not the model.
Call recordingA recorder captures audio with consent. The AI reads the transcript.
E-signatureSigned contracts need a legal audit trail.
Ad platforms and hostingAds run where the audience is; pages need a host.

[ What it unlocks ]

Fewer invoices, hours back, and every person freed for strategic work. All at once.

50%

Cut SaaS spend by 50% in applicable categories.

50%

Reduce admin cost for customer-facing roles by 50%.

Hours back

Nobody does data entry. The setup logs calls, updates fields and writes the notes.

Sales repsTyping notes and updating fieldsMore live conversations

Sales managersChasing updatesCoaching on real calls

MarketersBuilding lists and pulling reportsStrategy and bigger tests

RevOpsFixing broken integrationsPlanning, pricing and territories

[ How it rolls out ]

Read first, then suggest, then act. IT signs off before anything runs.

01
Read
The setup reads your CRM and tools. Nothing changes yet. IT signs off on what it can reach before anything runs.
02
Suggest
Every automation that would change data or send something starts as a suggestion a person approves.
03
Act
Only low-risk work runs on its own, and only after it hits the accuracy bar you set. A person approves anything that reaches a customer.

A person approves anything that reaches a customer. Always.

[ Pick your model and team ]

Same playbook, on the model you choose.

Claude

OpenAI

[ Talk to a Growth Engineer ]