saasinator.ai
PLATFORM · SALESFORCE · AGENTFORCE

Agentforce per conversation
on top of Sales Cloud per seat.

Salesforce metered SaaS per user. The AI layer meters per conversation, so the bill compounds twice. You do not have to open by cancelling it. Start by building the same runtime beside it.

  • You own the agents and the evals
  • No per-conversation meter
  • Runs where you choose
Start an ignite buildSee the Salesforce replacement
The estatereplaceable
  • AgentforceAgent runtime
  • Atlas Reasoning EngineOrchestration layer
  • Agent BuilderAgent design surface
  • Prompt BuilderCustomer 360
  • Salesforce Data CloudModel layer
  • Sales CloudAudit-trail ledger
Agentforce · Atlas Reasoning Engine · Agent Builder · Data Cloudyours on commit one
Why this domain exists

You already pay to hold the customer.
Now you pay to talk to them.

The capability is real. Its commercial shape is: the meter runs on customer contact, on top of seats you already licensed, against a data layer you cannot take with you.

Agentforce is Salesforce's agentic AI platform — autonomous and assistive agents built on the Atlas Reasoning Engine, bound to Salesforce Data Cloud and priced per conversation on top of the per-seat Cloud licences already in place. The reasoning engine, the data layer and the deployment surface are all vendor-owned, so the agent and the customer record sit on one commercial surface.

Priced per conversation

The AI layer meters on customer contact, on top of the per-user Cloud licences already in place. Serving more customers grows the bill whether or not the software does more.

Bound to the data layer

The Atlas Reasoning Engine binds agents to Salesforce Data Cloud, so the agent and the customer record become one commercial surface. Reading your own records carries a charge.

Locked to the vendor's model selection

Agentforce ships Salesforce's reasoning model. Swapping it becomes a vendor conversation rather than an engineering one.

Double meterSalesforce's published pricing model. Both meters are theirs, not ours.
Per conversationThe meter runs on customer contact you already paid a seat for.
A conversation with your own customer
Agentforce prices per conversation
On top of the seats already licensed, against a data layer you cannot take
STAGE 01Ignite

Build the runtime beside the one you meter.

An agent runtime of your own, grounded on your own warehouse, running next to Agentforce. Nothing retired, no seat changes — the Salesforce agreement is untouched on day one.

Agent runtime

Autonomous and assistive agents for sales, service and operations, built on the framework you pick, with prompts and an eval suite your team can re-run.

Runs beside Agentforce and the Atlas Reasoning Engine

Grounding on your own warehouse

Customer 360 assembled from where the records already live, so agents read your data without a per-record charge for the privilege.

Reads Salesforce Data Cloud and the systems around it

Model choice

Pick the reasoning model that fits the workflow and swap it without a vendor migration. Agentforce ships Salesforce's model selection; you ship yours.

Runs beside the Atlas Reasoning Engine

Audit-trail ledger

Every agent decision, every tool call and every override logged on infrastructure you operate. GDPR and PDPL evidence becomes self-serve.

Runs beside Agentforce

Start an ignite build
STAGE 02Reforge

What your team already built on Agentforce, rebuilt as software you own.

The topics, knowledge connectors and action grants your team configured, the orchestration around them, and the data and audit plumbing under it. Same logic, modern substrate, and the meter stops.

IN — what you run today
  • Agentforce
  • Atlas Reasoning Engine
  • Agent Builder
  • Prompt Builder
  • Salesforce Data Cloud
  • Sales Cloud
SAIF

the saasinator AI Factory — glass-walled delivery

  • Brief
  • Build
  • Evals
  • Deploy
  • Transfer
OUT — what you own afterwards
  • Agent runtime
  • Orchestration layer
  • Agent design surface
  • Customer 360
  • Model layer
  • Audit-trail ledger

Product names are Salesforce's own. What comes out the other side is yours — source, models, prompts, evals and pipeline, transferred on commit one.

Agent Builder rebuild

The topics, knowledge connectors and action grants your team has already configured, rebuilt as versioned software with an eval suite your engineers read and re-run.

Agent Builder · Prompt Builder

Workflow orchestration rebuild

Multi-step agent execution with tool calls, approvals and escalation paths, reading your CRM, ERP and service data and writing back when a human signs off.

Agentforce · Atlas Reasoning Engine

Customer data layer rebuild

Customer 360 rebuilt against your own warehouse, so agents read where the data already lives rather than through a per-record data layer.

Salesforce Data Cloud

Audit plumbing rebuild

The records that show how an agent decided, which tool it called and who overrode it, rebuilt on infrastructure your governance team controls.

Agentforce · Salesforce Data Cloud

Coverage

Four surfaces. The same pattern in each.

Wherever customer contact is heaviest is where the per-conversation meter bites hardest. These are the surfaces we rebuild, and what sits inside each.

Agent runtime
  • Autonomous and assistive agents for sales, service and operations
  • Tool calls, approvals and escalation paths you define
  • Eval suite your engineers read and re-run
Agent design surface
  • Topics, knowledge connectors and action grants as versioned assets
  • Prompts your team edits without a premium tier
  • No charge per conversation for an agent your team wrote
Customer data
  • Customer 360 assembled from your own warehouse
  • Agents read CRM, ERP and service data where it already lives
  • No per-record fee for reading your own customers
Governance
  • Every agent decision, tool call and override logged
  • GDPR and PDPL evidence self-serve on your infrastructure
  • Model choice recorded per workflow
Functional areas this domain touches
Customer ManagementData & AnalyticsTechnology
Plan a rebuild
STAGE 03Liberate

The meter comes out. The agents stay — as software you own.

Liberation is earned, not sold. By the time the per-conversation line comes off the Salesforce bill, you have watched us build the runtime and run the evals that gate it.

The licence ledger

Illustrative

The commercial shape of an AI meter, as a buyer reads it

Basis of charge
Per conversation, on top of the per-user Cloud licences already held. Customer contact is the meter, not value delivered.
Discount condition
Conditional on the term of the underlying Cloud agreement, not on the AI layer standing on its own merits.
Data dependency
The reasoning layer is bound to the vendor's data layer, so reading your own customer records carries its own charge.
On exit
Topics, connectors, action grants and the customer data model sit inside the vendor's platform — not in an asset you hold.
Cost of staying————

Shape only — the direction of travel, not a quantity. Your own curve comes from your own renewal schedule and your own conversation volume.

Illustrative. This is our reading of a commercial pattern, not a quotation from any Salesforce agreement — no contract text, no clause references, no figures.

Agentforce replacement

Autonomous and assistive agents across sales, service and operations, running on software you own and retired into only once they are carrying the work.

Agentforce · Atlas Reasoning Engine

Agent Builder replacement

The agent design surface itself, owned outright, so writing an agent stops being a premium tier on top of a seat.

Agent Builder · Prompt Builder

Data Cloud replacement

The customer data layer rebuilt on your own warehouse, so agents reach your customers without a per-record fee standing in the way.

Salesforce Data Cloud

Plan a liberation
How it is built

Glass-walled from brief to transfer. Nothing behind a black box.

SAIF is our delivery method and it runs in the open. You watch the build as it happens, read the evals that gate every release, and keep every artefact — including the ones that record what did not work.

  1. 01

    Brief

    One workflow, scoped against your own data and your own renewal position.

  2. 02

    Build

    Agentic delivery against your systems, visible while it runs.

  3. 03

    Evals

    Every release gated on tests you can read and re-run yourself.

  4. 04

    Deploy

    Into infrastructure you control, alongside the system it stands beside.

  5. 05

    Transfer

    Your team runs it. We do not leave until they can.

You own it from commit one

Source, models, prompts, evals and pipeline. Not a licence to use what we built — the asset itself.

Two weeks to a working build

A working build against your own systems in two weeks. Fixed scope, fixed bill.

It runs beside the Agentforce agent first

Nothing is retired on faith. The Agentforce agent goes when the replacement is carrying the work.

See the methodology
Proof

What we will put in writing.

100%
IP transferred on commit one
0
per-conversation Agentforce fees
2 weeks
to a working build · fixed scope, fixed bill
Our commitment

Every engagement starts with a scoped working build against your own systems. If it doesn't convince you, you pay nothing — and you keep the code either way.

The ask

Bring one Agentforce use case and your Salesforce renewal date.

Ten working days. Which agent to build first, what the per-conversation line adds per customer served, and what owning the same agent costs to build. You keep the analysis.

Start an ignite buildSee how we build
Fixed feeTen working daysNo commitment beyond the diagnostic