The planning layer for hybrid human/AI organizations.
We build a living model of how your work gets done today, then help you redesign it across humans, vendors, software, and AI agents — before you commit.
Recommended scenario: Deploy agent on intake + triage. Keep humans on escalations and edge cases. Projected 42% lower cost-to-serve and 73% faster cycle time, with medium quality risk pending escalation rules.
Today: 68 FTE · $14.20/ticket · AI suitability 78%
Recommended scenario: Augment underwriters with an agent that pre-fills decisions and flags exceptions. Humans retain final approval. Cycle time drops by half; headcount holds steady to absorb volume growth.
Today: 22 FTE · $184/case · AI suitability 44%
Recommended scenario: Consolidate two vendors into one and route routine exceptions through an agent. Human reviewers handle high-dollar and net-new account exceptions. Estimated 28% cost reduction.
Today: 14 FTE + 2 vendors · $3.1M/yr · AI suitability 31%
Recommended scenario: Keep humans in the loop. Use an agent to draft attestations and assemble evidence packs; counsel reviews and signs. Reduces prep time without changing accountability.
Today: 6 FTE · $420K/yr · AI suitability 18%
Don’t just deploy agents. Plan the operating model around them.
Org charts are static. Consultants are manual. Workflow tools only show fragments. Planisphere gives leaders a living model they can plan and simulate against.
01
Living operating model
A current-state map of workflows, roles, systems, and handoffs.
02
Scenario simulation
Compare cost, quality, speed, and risk across human, vendor, software, and agent mixes.
03
Transformation roadmap
A defendable plan you can execute against and re-run as reality changes.
01
Living operating model
A current-state map of workflows, roles, systems, and handoffs.
02
Scenario simulation
Compare cost, quality, speed, and risk across human, vendor, software, and agent mixes.
03
Transformation roadmap
A defendable plan you can execute against and re-run as reality changes.
What we model about your operations
The dimensions we capture, observe, and co-author with your team:
Workflows
Steps, handoffs, exceptions, cycle times
Roles & capacity
Who does what, skills, utilization, FTE cost
Systems
Tools that touch each step; data + decision points
Volume & variability
Throughput, peaks, seasonality, failure modes
Cost-to-serve
Fully-loaded cost per workflow and per outcome
AI suitability
Per-task replaceability, augmentability, and risk
Outputs
Operating model + transformation plan
Simulate before you commit
Pick a lever — deploy an agent, offshore a queue, consolidate teams, absorb volume growth — and see the impact across cost, cycle time, quality, and risk.
Deploy agent on Tier-1 inquiries; humans retain escalations
Headcount
68 → 41
Cost / yr
$7.4M → $4.1M
Cycle time
18h → 4h
Risk
Medium
Why this scenario
•Quality: ↑ consistency on routine intake; ↓ on edge cases — route those to humans.
•Accountability: Humans own escalations + final rejections; agent owns intake + triage.
•Dependencies: Escalation rules + audit trail required before rollout.
Alternative scenarios
Augment humans with an agent (no headcount change)
Lower risk, smaller cost reduction.
Cost / yr
$7.4M → $6.1M
Cycle time
18h → 9h
Risk
Low
Considerations
•Agent drafts responses; humans approve before send.
•Preserves edge-case quality and existing accountability lines.
•Captures ~15% cost reduction without renegotiating vendor contracts.
Offshore Tier-1 instead of deploying an agent
Comparable cost, slower cycle, vendor risk.
Cost / yr
$7.4M → $4.6M
Cycle time
18h → 14h
Risk
Medium
Considerations
•BPO partner absorbs intake and triage on a per-ticket rate.
•Quality variance higher than agent-led triage; SLAs harder to enforce.
•Adds vendor concentration risk; harder to unwind than an agent rollout.
This is not agent orchestration.
Most agent companies hand you an agent. We hand you the map of where agents go, what they break, what they save, and how the org should change around them.
Agent orchestration
- Infra / runtime category
- “Here is an agent that does X”
- Optimizes a single workflow
- Built for engineers
Planisphere
- Management / system-design category
- “Here is the map of where agents go”
- Optimizes the whole operating model
- Built for the COO, CTO, Head of Ops
Plan the work, then deploy the agents.
If you’re being asked what AI does to your operating model — start with the map.
The planning layer for hybrid human/AI organizations.