Camilla Pulse
Camilla Pulse
Identify stalled initiatives
Camilla Pulse is an AI-powered post-engagement execution platform that helps consulting firms and their clients turn strategic recommendations into measurable action.
After a consulting project ends, important recommendations are often buried inside presentations, reports, and final deliverables. Camilla Pulse extracts those recommendations, converts them into structured initiatives, assigns suggested owners and timelines, and tracks execution over the following 30 to 90 days.
Instead of requiring users to adopt another complex project management tool, Camilla Pulse delivers updates through the channels they already use, including email, Slack, and Microsoft Teams. Executives and implementation teams can review progress, update status, flag blockers, or request support directly from a weekly digest without logging into a separate platform.
For consulting firms, Camilla Pulse provides a portfolio-level view across completed engagements. Consultants can identify stalled initiatives, unresolved dependencies, missing owners, and projects that may require additional support. This creates a more proactive client-success model and helps firms identify credible follow-on opportunities based on real execution needs.
Camilla Pulse also provides engagement health reporting and value tracking. It shows which recommendations are not started, in progress, blocked, or completed, while connecting completed initiatives to documented business outcomes. Where financial value has been confirmed, the platform can display progress toward expected savings, revenue growth, efficiency gains, or other strategic targets.
By extending the life of a consulting deliverable beyond the final presentation, Camilla Pulse protects the value of the original engagement, improves implementation accountability, strengthens client relationships, and creates a clear path from recommendation to realized impact.
Core capabilities include:
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AI extraction of recommendations, risks, dependencies, and expected outcomes
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Structured action plans with suggested owners, priorities, and timelines
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Weekly executive and implementation-team digests
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One-click status updates from email, Slack, or Microsoft Teams
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Blocker detection and overdue recommendation alerts
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Cross-client engagement health dashboards for consulting partners
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Documented and client-validated value tracking
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Follow-on support signals based on legitimate implementation needs
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Integration with CRM, project management, collaboration, and reporting systems
Camilla Pulse transforms the end of a consulting engagement into the beginning of execution.
Here's a breakdown in two parts: what it costs to build, and how to price it to the market.
Part 1 — Build & Run Cost Estimate
Assumes: MVP building on the shared extraction pipeline from the Printout product (not starting from zero), using an LLM API rather than training custom models.
| Cost category | Details | Estimate |
|---|---|---|
| AI/LLM API costs | Per-engagement extraction (one-time) + weekly digest generation (ongoing) | ~$0.50–$3 per engagement/week depending on document length and model tier |
| Engineering (build) | Extraction schema (shared), dashboard, email/Slack action buttons, integrations (Asana/Jira optional) | 6–10 weeks, 1–2 engineers |
| Design | Digest email templates, dashboard UI, partner "early warning" view | 2–3 weeks, 1 designer |
| Integration work | Slack/email action endpoints (no-login updates) | 1–2 weeks |
| Infrastructure | Hosting, DB for status tracking, email delivery service | $50–$300/month depending on scale |
| Ongoing maintenance | Bug fixes, prompt tuning, schema updates | ~0.25 FTE ongoing |
Rough total to MVP: $40K–$90K in engineering/design time (internal cost, not cash outlay if using existing team) + low, usage-based API costs (hundreds, not thousands, of dollars/month at moderate volume).
Part 2 — Pricing Model Options (how the firm charges for it)
| Model | Structure | Best for |
|---|---|---|
| Bundled into engagement fee | Add $X to project cost as a standard deliverable extension | Simplest sell — no new line item to negotiate, positions it as "how we work now" |
| Post-engagement subscription | $500–$2,000/month per client account for the 90-day tracking window | Creates recurring revenue after the main project ends |
| Tiered by team size | Priced by number of tracked recommendations or number of client-side users on the dashboard | Scales fairly for small vs. enterprise engagements |
| Value-share model | Tie a small fee to realized ROI (the "$120k of $200k" scorecard) | Highest perceived value, but hard to enforce/measure — riskier as a v1 pricing model |
Recommendation for v1: bundle it into the engagement fee as a differentiator (no separate sale needed), then introduce the standalone subscription once you have a few engagements' worth of retention data to prove the "post-project value" case. Trying to sell the value-share model before you have proof points risks stalling the pitch on measurement disputes.