Architecture built for production.
Not a chatbot. Not a generic automation layer. SectorAgent is a composable system of specialized agents, assembled into governed, production-grade operational workflows — the same system that reads a 2D engineering drawing, extracts tolerances, and logs a draft quote in your ERP, all with human review built in at every step.
But here's what matters: this architecture doesn't just work — it delivers measurable business outcomes. Speed without sacrifice. Auditability without friction. Flexibility without risk.
Four integrated layers
From discovery to deployed, integrated workflows.
- LAYER 01
Agent Store
Versioned, reusable agents for discovery. Each is an independently deployable AI building block, reusable across multiple workflows — published, discovered, and composed through a structured catalog.
Business benefit: No starting from scratch. Agents are pre-trained, battle-tested, and composable. That means faster deployment cycles — weeks instead of quarters.
- LAYER 02
Workflow Builder
The Workflow Builder assembles agents into governed sequences, with human-in-the-loop approval gates at configurable checkpoints and audit logging on every step, decision, and output.
Business benefit: You control the trade-off between speed and safety. Critical decisions get human review; routine steps run autonomously. Your team stays in the loop where it matters.
- LAYER 03
Connectors & Deployment (Deployment Engine)
Prebuilt and custom connectors link workflows directly to your backend systems. The Deployment Engine ships them to managed SaaS or self-hosted — the same workflow architecture, either path. See deployment →
Business benefit: You're not replacing your stack; you're orchestrating it. Workflows integrate with systems you already run and trust.
- LAYER 04
Governance & Oversight
Woven through every layer: transparency before autonomy, audit logging, confidence scoring, PII detection, and human control over outcomes. See governance →
Business benefit: Enterprise compliance and risk management built in, not added later. SOC2, HIPAA-ready, GDPR. Every decision is explainable and reversible.
How the platform works
Agents are modular — each purpose-built for a specific operational task. This modularity enables reuse and fast deployment.
Workflows are composed from those agents into repeatable, multi-step operations. Assemble from proven components, not from scratch.
Agents are selected from the agent store based on your specific use-case requirements. No vendor lock-in. No one-size-fits-all solution forced on you.
Human approvals are embedded where review and sign-off are required. Your team stays in control where decisions matter.
How a workflow comes together
Pre-built agents. Composed into your workflow by our engineers.
Agents don't work in isolation — they chain into governed, multi-step sequences with human review built into the path, not bolted on after. And you don't build them: our forward-deployed engineers scope the workflow with your team, compose it from the pre-built agent catalog, test it against your data, and deploy it.
- 01 / Scope
Engineers, with your team
Forward-deployed engineers map the workflow, the systems it touches, and where sign-off belongs.
- 02 / Compose
From pre-built agents
Assembled from the agent catalog rather than written from scratch — twenty agents available today.
- 03 / Test
Against your own data
Confidence thresholds and approval gates tuned before anything reaches production.
- 04 / Deploy
Managed or self-hosted
A managed service we run, or self-hosted inside your own infrastructure. Same workflow either way.
GOVERNANCE RULE · No agent may validate its own output.
The agents are pre-built and reusable. What's bespoke is the sequence, the thresholds, and where your team signs off.
Why this architecture matters
Four business problems this solves.
Manual workflows are slow (and getting slower)
High-friction workflows like RFQ intake, document extraction, and order processing consume hours of manual labor per cycle.
Agents handle routine steps (data extraction, lookup, validation) at machine speed. Your estimator, procurement analyst, or operations manager focuses on judgment calls, not data entry. Result: 3–10 day cycles become 2–4 hour cycles.
AI tools are black boxes — your compliance team won't approve them
Generic AI platforms hide reasoning. They can't explain decisions. They leave no audit trail. Your legal, compliance, and risk teams say no.
Every agent output is logged with reasoning and confidence scores before execution. Approval gates sit at decision points. Immutable audit trails answer “Why did the system do that?” Rollback is guaranteed. This earns trust from compliance, legal, and leadership.
New workflows require data science teams you don't have
Custom ML models require specialized expertise. Most mid-market manufacturers lack data scientists. Custom builds take months and cost six figures.
Compose workflows from pre-built agents. No custom model training. No data science team required. Forward-deployed engineers handle scoping and deployment. You go live in weeks, not quarters.
You're locked into pre-built solutions — your unique workflows don't fit
Generic tools work for common use cases. Your business has unique constraints: custom approval rules, proprietary pricing logic, legacy system integrations.
Agents are composable building blocks. Rules are configurable. Connectors handle your specific systems. Build exactly what you need from modular components. New workflow? New business rule? Adjust the configuration. No re-engineering.
The compounding flywheel
Start with one workflow. Prove ROI. Expand.
Each new workflow compounds the benefit because you're reusing agents and infrastructure. The platform becomes more valuable with each deployment.
- Faster cycles
- More capacity
- Higher-volume customers
- More data
- Better-trained agentsback to the start
The result
This isn't about replacing your team with AI. It's about multiplying what your team can do.
- Faster cycles on manual workflows
- Full auditability and explainability for compliance
- Governance and approval gates built in
- Reusable agents across multiple workflows
- Weeks to deployment, not quarters
- Your people in control where it counts
- Error reduction and consistency
- Your team freed to focus on judgment, not data entry
All while reducing errors, freeing your team for judgment calls, and keeping full visibility into every decision the system makes.