Why this assessment exists

Agentforce and Einstein are the single fastest-growing cost line in Salesforce portfolios. Consumption-based pricing (per conversation, per action) carries unpredictable cost curves; per-seat pricing locks in base cost regardless of use. Without structured pilot discipline, consumption forecasting, and benefit measurement, enterprises routinely commit to multi-million-pound Agentforce contracts with minimal evidence of ROI.

This assessment maps your Agentforce/Einstein ROI posture against the failure patterns we see most often: vague use cases, missing consumption forecasts, absent benefit measurement, and inflexible contract structures. Built on 30+ Salesforce AI engagements since Agentforce launch.

Your progress 0% complete
Question 1 of 8

Are your Agentforce / Einstein use cases defined to outcome level (not just 'explore AI')?

Vague use cases produce pilots that cannot be evaluated. Outcome-defined use cases (e.g. 'reduce case-resolution time by 25% in Tier 1 Service') give the business benefit measurement a hook.

Question 2 of 8

Have you modelled per-conversation vs per-seat Agentforce pricing against your use cases?

Per-conversation pricing suits low-volume, high-value interactions; per-seat suits continuous-use populations. Mis-match is common and expensive.

Question 3 of 8

Are you running a time-bounded Agentforce pilot with documented success criteria?

Open-ended pilots drift into production. A time-bounded pilot with go/no-go criteria protects against scope creep and cost overrun.

Question 4 of 8

Do you have consumption forecasts with sensitivity to scenario (conservative, base, aggressive)?

Agentforce consumption is non-linear and hard to predict. Scenario-based forecasting prevents the six-month cost surprise.

Question 5 of 8

Is your data foundation ready for Agentforce (Data Cloud, unified data, governance)?

Agentforce quality is gated by data quality. Without Data Cloud or equivalent data unification, agents hallucinate, mis-route, and under-deliver.

Question 6 of 8

Is benefit measurement built into the pilot and early production (KPIs, baselines, dashboards)?

Benefit measurement separates successful AI programmes from expensive ones. Baselines must be captured before Agentforce deployment, not after.

Question 7 of 8

Is your Agentforce contract structured with flexibility (ramps, caps, swap rights)?

Flat-rate multi-year AI commitments without ramps, caps, or swap rights are the riskiest cost shape in Salesforce portfolios.

Question 8 of 8

Have you independently modelled Agentforce ROI (not accepting Salesforce's case)?

Salesforce-supplied ROI models rely on Salesforce benchmarks and assumptions. Independent modelling with your own data produces defensible business cases.

0 of 8 answered

What happens next

When you click View your results, we'll ask for your name, work email, and company. We only accept corporate email addresses — no Gmail, Outlook.com, or other free providers — because this report is written for enterprise buyers and we use the domain to tailor the recommendations. Your email is never sold, shared, or used for anything other than delivering your report and (if you opt in) related Salesforce research.

Once you submit, you'll be redirected to a personalised report showing your overall score, risk band, the specific findings for each question where you scored 2 or higher, and the three most important actions to take before you sit down with Salesforce.

Prefer to walk through this with an expert?

Our Salesforce practice will run the full diagnostic with you in a 2-hour working session.
Book a session →