How we engage

Six offerings. Three stages. One sequence.

We don't sell a menu — we sell a sequence. Most relationships start at the entry stage and move right only as far as the diagnosis justifies.

Enterprise leaders mapping decisions and workflow handoffs during an Atherian facilitation session
Work redesignDecisions, handoffs, ownership, and value mapped before automation

The work behind the work

Strategy becomes credible when the operating model changes.

Our engagements produce more than recommendations. We work through decision rights, workflow boundaries, architecture constraints, evaluation criteria, and ownership—then connect those choices to an implementation sequence.

  • Executive alignment around the business outcome
  • Visible decision and workflow friction
  • Architecture tied to operating responsibility
  • Evidence thresholds defined before production

Stage 1 · Entry

Low commitment

Stage 2 · Delivery

Implementation

Stage 3 · Ongoing

Retained partnership

Atherian engagement pipeline moving from raw sources through a governed data foundation and evaluated agent into production
FIG. 01 — Governance and evaluation are explicit gates, not afterthoughts.

Entry · start here

Evaluations

A structured readiness assessment across org health, data health, and AI/agentic readiness. You get a scored diagnostic and a prioritized list of what to fix first — before any build conversation starts.

Start an evaluation →

Recommendations

For teams that already know roughly where the gap is and want an outside, expert read on the right architecture, sequencing, or vendor decision before committing budget.

Request recommendations →

Delivery · doing the work

Products

Packaged, repeatable builds — assessment tooling, migration accelerators, and agent evaluation frameworks — priced and scoped tighter than open-ended project work.

Project work

Scoped implementation engagements: data foundation builds, Agentforce rollouts, Claude integration, Heroku migration execution. Fixed scope, fixed outcome.

Ongoing · retained

Managed services

Retained coverage for the platform work that doesn't stop after go-live — org health, data quality, and architecture decisions as your Salesforce footprint keeps evolving.

Managed AI packages

A tiered retainer built specifically for agentic AI operations — monitoring, evaluation upkeep, and iteration as usage and risk grow past what a one-time build can account for.

Not sure where to start?

Match your situation to a stage

If you're saying...Start with
"We don't actually know how ready our data is for this"Evaluations
"We know the gap, we need an outside opinion on the fix"Recommendations
"We're ready to build — here's the scope"Project work
"We need this running and monitored long-term"Managed AI packages

Start where most engagements start

A readiness evaluation gives you the diagnostic before you commit to a build.

Atherian Advisor