Growth‑stage, operations‑heavy teams (typically 50–500 employees) that already run on HubSpot or Salesforce and care about speed‑to‑lead, support load, and attribution—and want KPI‑committed delivery.
Who isn’t a good fit?
Very early‑stage teams without a CRM, “chatbot only” requests with no appetite for data or process work, or pure ML research without a production use case.
Scope & services
Do you only do AI agents?
No. We deliver Build · Connect · Automate together—apps, data platforms, and AI agents—so automation has a solid foundation and clear metrics.
Can we hire you just for app development or just for data?
Yes, though we still design with the full system in mind so you’re ready for automation later.
Do you work inside our cloud and repos?
Yes. We can deliver into your environment with your controls, or host selected components if that’s a better fit—decided during Blueprint.
Pricing & plans
How much does it cost?
We keep it simple:
Foundation — $150k (fixed)
Scaled — $300k (fixed)
All‑In — $400k/year (retainer)
All three include Build · Connect · Automate at different scales and SLO bands.
What’s included in Essentials Care?
Security patches, bug fixes, monitoring, basic agent/data checks, and a limited number of small enhancement releases per month (1 for Foundation, 2 for Scaled).
Can we upgrade later?
Yes. If you upgrade to All‑In within 90 days of go‑live, we apply a credit ($50k from Foundation, $75k from Scaled).
KPIs, SLOs, and accountability
Do you actually sign up to KPIs?
Yes. That’s what Morphed Commit™ is for. We define SLIs (what we measure), agree on SLO targets, instrument them, and review performance on a cadence.
Connect: data freshness, model/quality checks, dashboard performance.
Automate: containment, CSAT, escalation quality, cost per interaction, and revenue assisted where applicable.
What happens if SLOs are missed?
For All‑In retainers, we can pair SLOs with service‑credit terms. For all plans, we do root‑cause analysis, adjust, and track improvements transparently.
AI security, safety, & data
How do you keep AI agents “safe”?
Policy packs, retrieval over approved sources, restricted tool access, evaluation suites, monitoring, escalation logic, and a kill switch if needed.
Will the agent see all of our data?
No. Access is scoped. Agents see only what they need for defined workflows, and we favor retrieval patterns over broad raw access.
Can you help with security reviews?
Yes. We can support security questionnaires, architecture diagrams, data‑flow descriptions, and conversations with your security team.
Process & timeline
What does a typical timeline look like?
Most Foundation and Scaled projects ship first value in 8–16 weeks. All‑In is ongoing and ships on a sprint cadence.
What’s the first step?
A Blueprint Session where we clarify goals, systems, constraints, and choose the best initial use case and plan.