Your most expensive people do the same work every day.
That’s not strategy — it’s waste! AIOS learns how your experts actually work — then executes it autonomously, at scale.
Outcome-based pricing. No savings, no charge — ever.
THE PLATFORM
Why we’re different.
The industry builds an agent for every task. AIOS builds cognition — adaptive intelligence that reasons about any workflow, selects any tool, and scales without maintenance debt. Stop building AI agents. Start building intelligence.
One brain. Every workflow.
Traditional platforms build a separate agent for every task — hundreds of brittle bots you have to maintain. AIOS operates like a single brilliant employee: one cognitive engine that reasons about intent, selects the right tools, and adapts to any workflow. Add a new capability and every process gets smarter immediately.
Learn more ↗AIOS interviews your experts
AIOS conducts voice interviews just like a human, using seven science-backed elicitation techniques to understand how your experts complete complex tasks. While they talk, AIOS captures their screen, detects decision signals, and automatically builds certified, executable agentic workflows from what it learns.
Learn more ↗Self-evolving autonomous agents
Every execution makes the system smarter. A three-role memory engine — Generator, Reflector, Curator — captures outcomes, surfaces patterns, and persists validated insights as reusable knowledge. No manual retraining. No prompt tuning. Continuous autonomous improvement.
Learn more ↗Security first posture.
Every action is blocked unless an explicit policy allows it. A deterministic policy engine with allow/deny controls, global and per-execution kill switches that halt instantly, and human-in-the-loop approval gates with compliance-grade audit logging.
Learn more ↗Universal connector fabric
Hundreds of connectors — REST, Slack, Jira, Google Workspace, databases, terminal, and a growing marketplace — unified under one execution contract. Add a connector and every cognitive agent uses it immediately.
Learn more ↗THE INDUSTRY PROBLEM
95% of enterprise AI never reaches production.
The agentic AI industry has structural problems that point solutions can’t fix. Here’s the data.
CONCEPT → PRODUCTION
For every 100 enterprises that start an AI initiative, only 5 ship to production.
Source: MIT Sloan Management Review · Gartner
WHY THEY FAIL
Governance and integration account for 62% of all failures.
Source: UC Berkeley · Industry surveys
TOTAL COST OF OWNERSHIP
Custom workflows compound cost. Reusable skills flatten it.
AIOS is built for the 95%.
Production from day one
Forward-deployed engineers ship real workflows, not demos.
Governance built in
Policy engine, circuit breakers, and evidence-grade audit.
Flat cost curve
Reusable skills eliminate maintenance debt.
>99% accuracy
Deterministic policy controls close the reliability gap.
PRICING
We make money when you make money.
You pay for successful outcomes. Failed tasks are free. Always. No per-seat licenses. No per-connector fees. Just the floor cost of running your tenant.
Floor Cost Only
Your platform fee covers the bare cost of running your tenant. Infrastructure, connectors, tokens, security, unlimited users. No margin added.
Per-Task Outcomes
Each workflow has a per-task price anchored to 20-40% of what you’d pay a human. You save 60-80% on every successful task. Token costs baked in.
Failed = Free
If a task fails, escalates, or gets killed, you pay nothing. AIOS only earns when it delivers. Our incentives are your incentives.
TASK PRICING BY COMPLEXITY
| Tier | What it replaces | Human cost** | AIOS per task* | You save |
|---|---|---|---|---|
| Micro | ~5 min — single action, no judgment (route, classify, look up) | ~$8 | $2 – $3 | 63–75% |
| Standard | ~30 min — multi-step, one system (extract, validate, post) | ~$48 | $10 – $19 | 60–79% |
| Complex | ~1–2 hrs — multi-system, judgment calls (analyze, reconcile, check) | ~$144 | $29 – $58 | 60–80% |
| Expert | ~half day — cross-system orchestration, decision chains | ~$384 | $77 – $154 | 60–80% |
| Strategic | ~multi-day — end-to-end process with multiple stakeholders | ~$1,500+ | $300 – $600 | 60–80% |
| Autonomous Ops | Replaces entire department operations — custom scope and pricing | Custom | Custom | Custom |
*Per-task fees are anchored to 20–40% of fully loaded human cost. Pricing is agreed upon during onboarding.
**Human cost based on $150K salary (~$200K fully loaded at $96/hr).
WHITE GLOVE ROLLOUT
Accelerated rollout. Optional. Hands-on.
AIOS is self-serve out of the box. But if you want to move fast, our engineers embed directly with your team to get you to production in 90 days. An optional service for teams that want white glove support from day one.
Scope & Interview
We sit with your SMEs, run AIOS Interviewer sessions, capture screen workflows, and map the processes that matter most.
Build & Integrate
Our engineers build agentic workflows against your real systems, configure connectors, tune policies, and wire up approval gates.
Validate & Ship
Eval suites run against production data. Workflows promote through Draft, Staging, Production with governance at every gate. Live in 90 days.
Monitor & Optimize
Real-time metrics, execution traces, and the agentic self-evolution memory system feed continuous improvement. We tune alongside your team.
Expand & Scale
New workflows deploy faster because the cognitive core already knows your systems. Each deployment makes the next one easier.
Transfer & Own
Your team learns the platform. We transition to advisory. You own the system, the workflows, and the knowledge base.
90 days from kickoff to production.
Not a POC. Not a demo environment. Real workflows, real data, real outcomes. We put skin in the game because our pricing depends on your success.
INSIDE THE PLATFORM
See everything. Control everything.
AIOS gives you full visibility into every workflow, every agent decision, and every outcome. No black boxes.
OBSERVABILITY
Real-Time Metrics Dashboard
KPIs, success rates, token usage, and cost tracking across all workflows and tenants. Live sparklines update via WebSocket.
TRACING
Agent Execution Traces
Nested span trees across five levels: pipeline, agent, LLM, tool, and walker node. See exactly what the AI did and why.
CONNECTORS
Connector Marketplace
Browse, install, and configure hundreds of connectors. Each one is immediately usable by the cognitive core.
TESTING
Evaluation Suites
Test case libraries, trajectory matching, and custom LLM evaluators. Workflows can't promote to production without passing eval gates.
GOVERNANCE
Policy Engine & Overrides
Configure deterministic allow/deny rules, priority-based overrides, risk conditions, and RBAC across 19+ resource types.
AUDIT
Audit Trail & Compliance
Every action, policy decision, approval, and data access logged with timestamps, actor identity, and full request details.
The proof is in the platform.
Every other platform builds a separate agent for every task. AIOS builds cognition. See how that changes everything.
| Capability | AIOS | AgentForce* | LangGraph / CrewAI* | RPA (UiPath, AA)* | Cloud AI (AWS, Azure)* |
|---|---|---|---|---|---|
| Agent architecture | ✓ Single cognitive core | Agent per task | Agent per task | Bot per process | Agent templates |
| Adding new capabilities | ✓ Add connector, done | Build new agent | Write new code | Build new bot | New template |
| Tacit knowledge capture | ✓ AI interviews + screen capture | No | No | No | No |
| Agentic self-evolution | ✓ Built-in | No | No | No | No |
| LLM flexibility | ✓ Any provider — switch by config | BYOLLM available, ecosystem-centric | Abstraction layer, eng effort to switch | N/A | Multi-model (within ecosystem) |
| Security posture | ✓ Deterministic policy engine | Trust Layer (probabilistic) | DIY | Role-based | IAM / provider-dependent |
| Pre-execution review | ✓ Full plan visible before action | No | No | No | No |
| Kill switches | ✓ Global + tenant + execution | Single-level | None | Single-level | Single-level |
| Compliance-grade audit trail | ✓ Built-in, immutable | Partial | DIY (LangSmith separate) | Process-level logs | Provider-dependent |
| Human-in-the-loop gates | ✓ Pauses execution until approved | Notifications | DIY | Action Center notifications | Notifications |
| Multi-tenancy | ✓ Architected from day one | Org-level | DIY (not architectural) | Varies | Provider-dependent |
| Pricing model | ✓ Outcome-based — failed = free | $2/conversation or $0.10/action | Open source + eng team cost | Per-bot + platform license | Per-token consumption |
| Time to production | ✓ 90 days with FDEs | Weeks to months | Months of eng build | Weeks to months | Weeks to months |
| Maintenance at scale | ✓ Sublinear | Linear (agent per task) | Linear (code per agent) | Linear (bot per process) | Linear |
*Competitor comparisons based on publicly available documentation, pricing pages, and product announcements as of March 2026. Sources include salesforce.com/agentforce, Salesforce BYOLLM docs, uipath.com/pricing, AWS Bedrock model choice, LangGraph docs, and CrewAI docs. Feature availability may vary by plan or edition. AIOS capabilities reflect current production release.
PEDIGREE
Deep expertise, not just code.
cvlSoft was founded by experts who have spent years in the trenches of enterprise agentic AI. We understand how large organizations actually operate: the politics, the compliance requirements, the legacy systems, the tribal knowledge that nobody has documented. That understanding is baked into the architecture of AIOS itself.
When you work with cvlSoft, you benefit from that accumulated expertise and intellectual property. Our cognitive core, our knowledge extraction techniques, our security posture, our pricing model: these are not engineering decisions. They are hard-won insights from years of watching enterprise AI projects fail and understanding exactly why.
The technical implementation is the icing. The foundation is knowing what to build, how to deploy it, and what it takes to earn trust inside an enterprise. That part isn’t written in code — it’s earned.
Not hype, real enterprise agentic AI!
See it now. Work email only.