AI ROI Calculator
Pick an AI project and see the full picture — what the crew will cost to build, how long it will take, what it will save you each year, and when it pays itself back.
Step 1
Estimate the Savings
Pick the AI project, set where the impacted team sits today, and dial in the headcount, wage, and automation that drive your annual savings.
Project Gallery
Search and filter all 100 AI projects. Click a card to load its blueprint, crew, and savings model into the calculator.
AI Project
Pick from 100 projects. Build cost, timeline, milestones, and the savings model all auto-fill.
A customer service chat agent answers common questions, retrieves approved knowledgebase content, captures intent, and hands off cleanly to live agents. For medium-to-large businesses, the first release should focus on high-volume, low-risk work such as status checks, policy FAQs, intake routing, and case creation.
Location Strategy
Where the impacted agents sit today vs. where the remaining team should be located after AI absorbs part of the workload. Country presets update wage, burden, telco, and software defaults.
Premium native-English support; highest fully-loaded cost.
Premium native-English support; highest fully-loaded cost.
Savings — Contact center agents
AI fully handles ~55% of agents' workload end-to-end. Small per-task time savings (~20%). Adjust headcount, wage, automation, and time-savings to match your reality.
Contact Center — Telco & Software
Per-seat infrastructure: voice/SMS carrier costs and licensed software (CCaaS, CRM, WFM, QA tools). These scale down with deflected agents.
Contact Center — Management
Headcount is derived from your agent count using standard ratios. With 100 agents that's 4.0 QA, 6.7 supervisors, and 1.3 managers — about $1.24M/yr in management cost.
Step 2
Build the Crew
Choose where the build team is based and tune the roles, hours, and specialists who will deliver the project. Build cost recalculates live at your selected rates.
Delivery Region
Where the build crew will be based. Build cost and ongoing run cost both scale with the region multiplier.
Manila / Cebu delivery — low endpoint of catalog range.
Build Crew & Resources
Larger Crew. Hours per role are pre-filled from the catalog blueprint. Adjust to match your scope — build cost updates live at Philippines rates.
Catalog reference range at Philippines: $11K–$33K · Timeline: 8–10 weeks
Ongoing Monthly AI Run Cost
Estimated line items — edit any value to refine the estimate.
Estimate only — adjust any line item to match your scope.
Payback period
Time to recover the one-time build cost from net monthly savings
All figures are estimates based on the catalog blueprint and your inputs. Final numbers are confirmed during scoping.
Baseline & breakdown
Step 3
Executive Summary, Cost & ROI
Your full business case: deliverables, milestones, build cost, ongoing run cost, payback, and 1/3/5-year ROI. Generate the printable executive summary when you're ready to share.
Business outcome
A customer service chat agent answers common questions, retrieves approved knowledgebase content, captures intent, and hands off cleanly to live agents. For medium-to-large businesses, the first release should focus on high-volume, low-risk work such as status checks, policy FAQs, intake routing, and case creation.
Deliverables
- Customer-facing chat agent with human handoff
- Knowledgebase retrieval using approved sources
- Deflection, escalation, CSAT, and containment reporting
Crew & first KPI
Larger Crew delivered from Philippines.
Generate your project estimate
Unlock the full executive summary with cost, ROI, milestones, and a downloadable PDF business case.
Project plan & milestones
Derived from this project's 8–10 week timeline.
Phase 1 · Week 1
Discovery & Scoping
- Workflow mapping with target users
- Data, systems, and integration audit
- Success metrics, guardrails, governance
Phase 2 · Weeks 2–4
Build
- Larger Crew crew assembled
- Build: Customer-facing chat agent with human handoff
- Build: Knowledgebase retrieval using approved sources
- Internal QA, red-teaming, and policy review
Phase 3 · Weeks 5–7
Pilot
- Shadow-mode evaluation against historical data
- Live pilot with one team / region
- Weekly metrics readout to executive sponsor
Phase 4 · Weeks 8–9
Scale & Optimize
- Roll out to remaining teams / regions
- Tune prompts, guardrails, and exception routing
- Hand off to ongoing run-rate operations
Estimates are directional. Build cost and timeline come from the project's catalog range scaled by region. Ongoing Monthly AI Run Cost excludes model usage and third-party software licenses. Annual savings are modeled from your headcount, wage, automation %, and time-savings inputs.