Start Free, Scale as You Grow
5,000 credits on signup, no seat fees, no lock-in — pay only for what you use
Virtual AI Employees
That Know Their Role &
Get the Work Done
Deploy autonomous AI that think, act, and collaborate like your best team members, without headcount, onboarding lag, or off-hours gaps.
30-min consultation
No monthly fee
5,000 credits on signup, no seat fees, no lock-in — pay only for what you use
Agents delegate, escalate, and hand off to each other, just like a real team
A human specialist is included on every paid plan to build your first agent with you
AI Concierge
Type what your virtual employee should handle in plain language. The AI Concierge generates the full agent configuration (role logic, escalation rules, and system connections) from your description.
Create a product return automation workflow
One Canvas
No stitching together separate tools for each function. Sales, hiring, support, and operations agents all run on the same platform, share the same data layer, and hand off to each other without integration workarounds.
Low / No-Code
Pre-built role templates, a drag-and-drop builder, and the AI Concierge eliminate the lengthy configuration phase. Start from a role template, adjust it to your process, and deploy, with a human expert available to get your first agent live correctly.
Any function that runs on repeatable interactions, structured decisions, and data-driven follow-through is a candidate for an autonomous AI agent, configured to the role, connected to the right systems, and ready to operate independently.
Our cognitive AI architecture gives virtual employees structured reasoning, so they can manage multi-step tasks, hold state across interactions, validate inputs before acting, and make consistent decisions under conditions that would break a prompt-based agent.
Agents follow decision frameworks tied to their role. Every action is evaluated against defined logic (not generated freely) making outcomes predictable even in complex, branching scenarios.
Configure each agent to operate across the surfaces their role requires (voice, chat, email, messaging, or internal tools) with the same logic and data access everywhere
Slack, Microsoft Teams — internal agents that answer questions, route requests, and surface information.
WhatsApp, Telegram, SMS — agents running natively inside the platforms your contacts already use.
Inbound and outbound calls, appointment reminders, qualification, follow-ups. Natural speech with sentiment detection.
Embedded agents that engage, qualify, answer, and act, without routing every interaction to a human.
Two-way conversations, outbound sequences, approval workflows, and notifications.
USE CASES
Every virtual employee starts from a role definition. You define what they're responsible for, what systems they work in, and what decisions they're authorized to make. The platform handles the rest.
| Feature | Other platforms | CogniAgent |
|---|---|---|
| Agent architecture | LLM prompt-response loop | Cognitive reasoning with decision logic, state management, and input validation |
| Multi-agent capability | Siloed agents or manual Zapier connections | Native orchestration – agents delegate, hand off, and coordinate autonomously |
| Role configuration | Generic chatbot templates | Role-defined agents with function-specific logic, tools, and authority levels |
| Channel coverage | Chat-only or voice-only | Voice + chat + email + WhatsApp + SMS + Slack/Teams — same agent, any channel |
| Reliability | No published benchmark data | 92% first-attempt success rateacross 172 scenarios (internal study, Feb 2026) |
| Setup | Developer required | Low/no-code builder + AI Concierge + human expert onboarding on every paid plan |
| Pricing | Seat-based subscription lock-in | Credit-based – pay for usage, top up anytime, credits never expire |
80%
fewer missed inbound contacts after deploying always-on virtual employees across voice and chat
65%
reduction in task completion time on multi-step processes handed to autonomous agent workflows
72%
of repetitive inquiries resolved without human escalation — average response time down from 6 hours to under 60 seconds
40%
increase in throughput on hiring and intake pipelines after adding role-configured AI agents
PAIN POINTS
Headcount that doesn’t scale
Hiring for volume is slow, expensive, and creates fixed costs that don’t flex with demand. A virtual AI workforce scales up instantly and costs only what it uses.
Deploy additional agents in minutes. Handle peak volume without adding payroll.
Handoff failures between teams
When work moves between people, context gets lost, tasks fall through gaps, and no one owns the outcome. Coordination overhead compounds at scale.
Agents hand off with full context (task state, conversation history, and data) intact. Nothing drops.
Inconsistent execution across roles
Human performance varies. Training fades. Processes drift. Customers and candidates get different experiences depending on who picked up.
Every interaction runs against the same decision logic, the same tone, the same standards — every time.
Visibility gaps in autonomous processes
When work happens without human involvement, you need a clear audit trail. Most automation tools don’t give you one.
Every agent action, decision, and outcome is logged. Full visibility into what your AI workforce is doing, and why.
Long deployment timelines
Building and deploying custom AI agents the traditional way takes months of engineering work. By the time you’re live, the need has moved on.
AI Concierge generates your agent configuration from a plain-language description. Pre-built role templates cut setup to hours. Every paid account includes a human expert session to get your first agent live.
Security Compliance
All data exchanged between your virtual employees and connected systems is encrypted in transit and at rest. Security protocols meet or exceed industry standards across healthcare, finance, and enterprise environments.
Your business data, customer interactions, and workflow outputs remain exclusively yours, never used to train public AI models, never shared with third parties, never retained beyond your defined policy.
Role-based access controls govern what each virtual employee can see, read, and act on. Authority levels are set per agent and per action type, so every agent operates strictly within its defined scope.
Full activity logging and audit trails across every agent action, decision node, workflow execution, and system integration. Complete visibility into what your AI workforce did, when, and why.
Pay only for what you use. Full visibility on every credit spent.
No subscription. No monthly fee.
Buy credits from $10
* activates on first credit purchase
Custom plan. Annual subscription,
negotiated rate.
CogniAgent
A standard agent responds to inputs. A virtual employee is configured around a role, with defined goals, connected tools, decision-making authority, and the ability to initiate and complete multi-step tasks without being prompted. It behaves like someone with a job description, not a chatbot waiting for a question.
Multi-agent orchestration lets multiple agents work together as a coordinated team, delegating tasks, sharing context, and handing off work without human intervention. You don’t need it to start, but it becomes valuable when your processes span more than one function or when you want agents to manage each other rather than routing through humans.
Workflow tools execute fixed sequences of predefined steps. Virtual employees reason through tasks, adapting to inputs, handling edge cases, making decisions mid-process, and communicating naturally with humans. They can also initiate actions based on conditions, not just respond to triggers.
Yes. Each agent is configured independently with its own role definition, data connections, authority levels, and channel assignments. You can deploy a single agent or build a coordinated AI workforce — with an orchestration layer managing how they work together.
Yes. Agents handle inbound calls, chats, emails, and messages while also initiating outbound (follow-ups, reminders, outreach sequences, surveys, and re-engagement campaigns) based on triggers and conditions you define.
You define the escalation rules as part of the agent’s authority configuration. When an agent reaches a decision outside its scope (or when a situation meets conditions you’ve flagged) it escalates with full context: conversation history, task state, and the reason for escalation. Nothing gets handed off cold.
None required. The AI Concierge generates a full agent configuration from a plain-language role description. The visual builder handles everything else with low/no-code. If you want custom logic or API integrations, that capability is there — but it’s optional. Every paid account also includes a human expert session to get your first agent live with you.
All activity (across every agent in your workforce) draws from the same credit balance. 1 credit = $0.001. There’s no per-agent seat fee. A larger workforce uses more credits as it handles more volume, but you only pay for what runs. Credits never expire.
With the AI Concierge and pre-built role templates, most first agents live within days. Enterprise accounts get a fully configured, tested agent built by the CogniAgent team, typically within 2–3 weeks from kickoff.
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