Estimate the operational and financial upside of shifting repetitive management work coordination, approvals, reconciliation, reporting into autonomous Beehive agent workflows.
Built for department heads and finance partners who need a directional number before committing to a full deployment assessment. This is a structured planning tool, not a finance model.
Planning mode
Directional
Estimates are indicative, not auditable forecasts
Decision speed
< 15 min
Complete with basic operational data
Use case
Budget-ready
Formatted for finance and procurement conversations
Follow-up
Pilot-focused
Each output recommends a first workflow for deployment
Yield assumption
60–75%
Conservative range from live Beehive enterprise deployments
Typical payback
4–9 months
Observed range across single-workflow pilot deployments
Labour Recovery
Model the labour value recovered when coordination, approval, and reconciliation tasks shift from human time to autonomous agent execution.
Payback Timing
Estimate payback timing based on your fully-loaded cost inputs and a conservative 60–75% automation yield assumption.
Pilot Scope
Identify which workflows produce the fastest payback so pilot scope decisions are driven by evidence rather than preference.
Finance-Ready
Generate a one-page summary to use as a planning conversation starter with finance, IT, and executive stakeholders.
Sensitivity
Stress-test assumptions by adjusting yield rates, headcount, and platform cost before committing to a pilot.
Identify effort
List the management and operational workflows your team executes weekly. Estimate hours consumed per workflow per week and multiply by staff involved. Include senior staff time at fully-loaded cost coordination overhead is most expensive when it consumes director and VP time.
Apply conservative yield
Apply a 60% automation yield to identified effort as the base case meaning 60% of weekly hours consumed are absorbed by Beehive agents, with the remaining 40% retained for human oversight, exception handling, and governance.
Compare against platform cost
Match the annualised labour value of recovered effort against SuperManager AGI's deployment cost platform licence, implementation partner fees, and internal IT time. The calculator surfaces gross payback period and net first-year ROI with sensitivity sliders.
Define pilot scope
Use the workflow ranking output to define the first deployment: the single workflow with the highest ROI score, the clearest data readiness, and an identified human owner. The pilot scope document gives your implementation partner a starting brief rather than a blank page.
Recovered managerial capacity
Coordination, approval routing, status chasing, and exception handling consume an estimated 30–40% of senior operational staff time. Beehive agents absorb these tasks the Controller Agent decomposes and routes work, the Validation Agent checks outputs before commit, and escalations surface only the decisions that genuinely require human judgement.
Execution quality improvements
Human-executed workflows degrade under volume error rates rise, cycle times lengthen, and forecasting accuracy falls as coordination overhead increases. Beehive agents execute at consistent quality regardless of concurrent load, operate on live data via the ADA layer, and produce structured outputs with confidence scores that make quality visible rather than assumed.
Phased rollout with measurable gates
Every deployment begins with a single high-frequency workflow targeted for its measurable baseline. Shadow mode runs the agent cluster in parallel with the existing human process for a minimum of two weeks. Expansion to adjacent workflows is gated by evidence: stable confidence scores, low escalation rates, and a completed audit cycle.
Prioritise by realistic ROI, not enthusiasm
The calculator scores candidate workflows across four dimensions weekly effort consumed, error cost when the workflow fails, strategic importance, and data readiness for ADA connection and ranks them by estimated first-year ROI. This prevents starting with the most visible workflow rather than the one with the fastest, most defensible payback.
The calculator uses fully-loaded cost base salary plus benefits, employer taxes, office overhead, and management cost rather than base salary alone. Industry benchmarks suggest fully-loaded cost runs 1.25–1.4x base salary for operational and managerial roles.
Yield rate represents the proportion of identified weekly effort that Beehive agents absorb in steady-state operation. The 60% base case is derived from observed outcomes across live enterprise deployments it accounts for effort that remains with human operators for governance, exception review, and escalation handling.
The calculator assumes a four-week implementation for a single-workflow pilot two weeks of ADA connection setup and agent configuration, two weeks of shadow mode observation before go-live. This timeline assumes data access permissions are resolved before implementation begins.
Revenue impact from shorter approval cycles, risk reduction value from improved compliance, and the compounding effect of expanding Beehive coverage to multiple workflows over time. These are addressed in the deeper deployment assessment available after the pilot.
Not directly. The calculator produces directional estimates based on your inputs and conservative industry benchmarks it is designed to start a budget conversation, not close one. The output gives you a credible opening number, a ranked workflow priority list, and a pilot scope document. A finance-grade model with auditable assumptions is produced as part of the deeper deployment assessment after the pilot is scoped.
Three core inputs: the list of workflows you want to assess (name and weekly frequency), the estimated hours consumed per workflow per week and the number of staff involved, and the fully-loaded annual cost of the staff involved. Optional inputs current error rates, downstream cost of workflow failures, and strategic priority rating improve the workflow ranking output but are not required to generate a payback estimate.
The 60% base case is derived from observed outcomes across live SuperManager AGI enterprise deployments it is a floor, not an average. Workflows with high data readiness and low exception rates consistently yield at 70–75% in steady-state. Workflows with fragmented data sources or high exception rates yield closer to 55–60%. The calculator allows you to adjust the yield assumption and observe the impact on payback period in real time.
One workflow, one Beehive agent cluster, one human owner. The minimum pilot targets a single high-frequency workflow with a clear pre-deployment baseline, a named human owner who sets policy and receives escalations, and a two-week shadow mode period before any action is committed to systems of record.
Yes. Platform licence cost and implementation partner fees are included in the total deployment cost used to calculate gross payback period and net first-year ROI. Internal IT time for ADA connection setup is included as a configurable input the calculator defaults to 40 hours of internal IT time for a single-workflow pilot.
The calculator produces three outputs: a directional ROI summary with payback period and first-year net ROI, a ranked workflow priority list with scores across effort, error cost, strategic importance, and data readiness, and a pilot scope document with a recommended Beehive agent configuration, ADA data sources required, and suggested shadow mode duration.