# SectorFlow

> A pod is a team you subscribe to: a senior SectorFlow expert plus AI we build and operate. It takes over one job in your business and answers for one number you choose. Nothing ever gets handed back to you to maintain.

SectorFlow builds and operates AI automation for mid-market companies. The product is a "pod": production AI agents plus the senior engineer who runs them, sold as one subscription and accountable for one business metric the client picks. SectorFlow handles building, hosting, tuning, and drift. The client's team keeps final authority on decisions and handles the exceptions the pod routes to them, with the agent's reasoning attached.

Every engagement is two steps. First an assessment: three weeks, $10,000 fixed (CA$13,500 in Canada, 9.000 EUR in Spain). SectorFlow maps one workflow, sets the baseline number, and shows a working slice of agents on the client's data. The client leaves with a scoped pod, a baseline, and a fixed monthly price, even if they stop there. If they proceed, the assessment fee returns in full as a credit of up to 50% on each monthly invoice. Then the pod: built and run inside one subscription, starting at $7,500 per month (CA$10,000 in Canada, 7.000 EUR in Spain), 12-month term, 30 days' notice after that. If the number stalls for months despite remediation, the contract gives the client an early exit.

Every pod runs on SectorFlow One, the company's governed platform, deployed as a private instance per client. Every agent action is logged with a reasoning trace and a reversal path. Role-based access controls, confidence thresholds with human-in-the-loop escalation, audit logging. Nothing trains on client data.

Company facts:

- Canadian company, operating from Guelph, Ontario and Kings Beach, California
- Leadership: Jake Rajnovich (CEO), Bill Jones (CTO), Tim Besserer (CPO), Deborah Arellano (COO)
- Contact: tim@sectorflow.ai, or the contact form at https://sectorflow.ai/contact/
- Client names are withheld on the site; case studies carry honest status labels (In production / In build / In design)

## Pages

- [Home](https://sectorflow.ai/): What a pod is, what it costs, and how the subscription works
- [How we work](https://sectorflow.ai/how-we-work/): The three-step process (assess, build, operate), the governed platform, and common questions
- [The assessment](https://sectorflow.ai/assessment/): The three-week fixed-fee assessment in detail, pricing, and pre-sales FAQ
- [Case studies](https://sectorflow.ai/work/): Four workflows with real production numbers, names withheld
- [About](https://sectorflow.ai/about/): The team and the company's background
- [Contact](https://sectorflow.ai/contact/): Book 20 minutes or send a message

## Case studies

- [Support calls, answered day and night](https://sectorflow.ai/work/): In production. Twin voice agents on a consumer wellness brand's support line. One production week: about 600 calls routed, 2 errors across 2,967 backend runs and 17,711 operations, 39 backend tools, 74 versioned releases
- [News that finds the analyst](https://sectorflow.ai/work/): In production. Ranked, deduplicated news feed for a financial research team. Six sources swept every 15 minutes, five narrow LLM jobs per article, 100% of AI calls logged with prompt, response, model, and cost
- [The order queue](https://sectorflow.ai/work/): In build. Order intake automation for a mid-market distributor. Assessment found 94.6% of open tickets stuck at one stage and 25 to 33% rework. The pod's number: touchless order rate
- [The playbook that answers back](https://sectorflow.ai/work/): In design. A governed knowledge base that replaces a 60-page partner playbook for channel sales enablement

## Blog

- [Is one premium model eating your AI budget? The case for routing](https://sectorflow.ai/blog/cut-model-spend-routing/): Measuring pass rate by model and routing each task to the cheapest model that clears the bar
- [Stop paying per seat for AI: the math on free reviewers](https://sectorflow.ai/blog/no-seat-tax-ai/): Why per-seat AI pricing punishes governance, and the math on usage-based pricing
- [Why Most AI Pilots Never Reach Production](https://sectorflow.ai/blog/why-most-ai-pilots-never-reach-production/): Why agents stall between demo and deployment, and what mid-market teams do differently
- [What an AI Agent Actually Does for a 200-Person Company](https://sectorflow.ai/blog/what-an-ai-agent-actually-does-for-a-200-person-company/): Concrete use cases, honest limits, and where to start
- [How Much Does an AI Agent Actually Cost?](https://sectorflow.ai/blog/how-much-does-an-ai-agent-actually-cost/): The variables that drive AI agent pricing and ROI
- [3 Workflows Mid-Market Companies Should Automate First](https://sectorflow.ai/blog/3-workflows-mid-market-companies-should-automate-first/): Three workflows that deliver measurable ROI within weeks

## Optional

- [Privacy policy](https://sectorflow.ai/privacy/): PIPEDA-oriented privacy policy
- [Terms of use](https://sectorflow.ai/terms/): Website terms