across enterprise tenants
executed in the last 30 days
with full audit observability
from intent to production
Shadow AI is already
inside your organization.
Without a unified agentic platform and governance layer, teams expose sensitive data, accumulate AI debt, and fail to realize measurable ROI.
Shadow AI & Governance Debt
- Unsanctioned LLM tools spread silently across teams
- PII surfaces in unguarded prompts — zero control
- No audit trail, no RBAC, no compliance coverage
Multi-Model Fragmentation
- No single LLM solves every enterprise use case
- Models stitched manually with no orchestration layer
- Inconsistent outputs, duplicated costs, zero routing
Zero Observability at Scale
- Agents proliferate across silos with no control plane
- No ROI attribution or business value monitoring
- Executives see nothing — spend, risk, and impact are blind
AMS + ARP.
Two layers. One agentic economy.
BotSpot defines the Agentic Market System — how AI labor is discovered, priced, and consumed. BotWorks defines Agentic Resource Planning — how it's governed, orchestrated, and measured.
BotSpot
The enterprise-grade AI labor market. Not a marketplace — a market system.
- Registry of verified agents with governance policies & scoped access
- Usage-based, outcome-based, and ad-subsidized consumption models
- Build & distribute custom agents internally or across your ecosystem
BotWorks
The operational control plane for your digital workforce.
- Intent engineering: the platform prompts the user, not vice versa
- Multi-model routing across OpenAI, Anthropic, Gemini, Mistral & more
- Full audit trail: every action logged, every access revocable
From intent to production
in weeks, not quarters.
A repeatable, enterprise-tested deployment path. No hard-coded logic. No vendor lock-in. Fully observable from day one.
Discover
Query BotSpot's agent registry. Filter by industry, function, role, and desired outcome. Evaluate trust tier and pricing model before committing.
Build
BotWorks' intent engineering engine prompts the user — no prompt writing required. Define role, problem, and desired outcome. The workflow is auto-generated.
Deploy
Push to production with role-based access controls, scoped tokens, compliance checks, and automatic audit trail activation — zero-trust from day one.
Scale
Expand workflows cross-functionally. ROI dashboard auto-generated. Reusable agent patterns scale across business units and geographies.
Multi-Agent. Multi-Model.
One Control Plane.
BotWorks routes tasks across specialized LLMs in real-time — selecting the optimal model per sub-task for accuracy, cost, and latency. Agents collaborate as coordinated teams under a single governance layer.
Agentic intelligence for every function
From sales and legal to finance and engineering — purpose-built agent workflows for every team.
Sales Automation
SDRs manually research 20 leads/day — AI agents research 500 ICP-matched leads daily, running autonomous sequences. Pipeline velocity 3.1× in 60 days.
Finance Close Cycle
Monthly close took 12 days with analysts spending 60% on reconciliation. Now automated — close in 3 days with full audit trail and variance analysis.
Legal Contract Intelligence
Contract review went from 3–5 days to 4 hours. AI flags non-standard clauses so attorneys only review exceptions — not every line.
HR Talent Acquisition
Recruiters screened 40 CVs/day manually. AI now screens 1,200 applicants daily and delivers a top-20 shortlist with scoring rationale in 2 hours.
Marketing Intelligence
Campaign planning used to take 3 weeks. AI generates, A/B tests, and optimizes campaigns continuously — creative briefs ready in 2 hours.
Engineering Velocity
AI reviews PRs, runs security scans, and flags regressions. Engineers review summaries only — senior devs reclaim 30% of their week.
Ops Vendor Onboarding
Vendor onboarding required 8 manual steps averaging 14 days. End-to-end automation now handles compliance, docs, and approvals in 2 days.
Enterprise-grade control at every layer
BotWorks enforces compliance, observability, and security policies across every agent interaction — with zero-trust architecture from the ground up.
Zero-Trust Access Control
Role-based permissions with temporary scoped tokens. Every agent access logged, traceable, and revocable in real-time.
Compliance Enforcement
Governance policies applied at the registry layer. Regulatory rule sets versioned and auto-updated. Compliance agents validate before output.
Full Observability
Real-time audit trail across every agent, workflow, and model invocation. Business value monitoring and ROI tracking built in.
Data Security & Privacy
Virtual data handles prevent PII from entering prompts. Enterprise knowledge graph enforces contextual grounding with consent controls.
Data Anonymization & Masking
Automated PII detection and anonymization before data enters any LLM pipeline. Configurable masking profiles per department and compliance regime.
Common questions about OrdoNova
Everything you need to know about deploying AI agents at enterprise scale.
What is OrdoNova and how is it different from Others?
BotSpot is the Agentic Market System (AMS) — the enterprise AI labor market. It governs the full lifecycle of AI agents: discovery from a registry of 2,400+ verified agents, policy-gated deployment, role-based access control, usage tracking, and outcome-based billing. Every agent is vetted, auditable, and compliant from day one.
BotWorks is the Agentic Resource Planning (ARP) platform — the operational control plane for your AI workforce. It handles intent engineering (the platform prompts you, not vice versa), multi-model routing across GPT-4o, Claude, Gemini, LLaMA, and Mistral, full workflow orchestration, real-time observability, and ROI attribution. Together, BotSpot and BotWorks form the complete enterprise agentic stack.
Why do enterprises need OrdoNova - a governed AI agent platform?
AI is being built by brilliant technical people, but the mechanisms to govern it, scale it, and integrate it into the business are missing. We’ve seen this movie before. When the Internet arrived, we embraced it without understanding the cultural and organizational consequences. We can’t afford to repeat that mistake.
This time, we need to design the systems that ensure AI becomes a force for good—aligned with business goals, human values, and organizational culture.
How quickly OrdoNova can deploy our first AI agent?
How does pricing work — usage-based or outcome-based?
Your digital workforce
starts here.
See BotSpot and BotWorks running a live multi-agent workflow in a 30-minute guided demo. Bring your use case. Leave with a governed deployment plan.