Conversational AI Agents
Handle real conversations across phone, SMS, WhatsApp, email, and web — and execute actions mid-conversation, not after the ticket closes.
One Platform. Three Execution Layers.
Conversational, Autonomous, and Deterministic — Native on One Canvas
Most platforms offer one of these. CogniAgent is the only platform that combines all three natively — with no middleware, no stitching, and no separate systems to maintain.
Autonomous Agents
Role-configured virtual AI employees that run in the background — lead screening, HR interviewing, content management, and more.
Deterministic Automation
Structured workflows with defined logic, triggers, and conditional paths. 2,700+ integrations. Executes exactly as configured, every time.
WHAT COGNIAGENT AUTOMATES
Some Processes Cannot Afford to Be Interpreted
Deterministic automation runs on structured logic. Every branch, every action, every exception path is explicitly defined and executed exactly as configured. The result is predictable, auditable, and fully traceable — what compliance, finance, operations, and IT processes actually require.
Explicit Branching
Every path through the workflow is defined before execution. There are no inferred decisions, no probabilistic outputs. If condition A is met, branch A runs. Every time.
Full Execution Traceability
Every workflow run produces a complete log — trigger received, conditions evaluated, branch taken, actions executed, systems updated, outcome recorded. Nothing happens off the record.
Validated Inputs at Every Node
Before a workflow step executes, the inputs it requires are checked for completeness and format. Mismatches are caught and routed before they produce downstream errors.
Logic That Stays Stable
Your workflow runs against the rules you set — not against a model that may interpret them differently over time. Update the logic when your process changes. Until then, it executes identically.
Deterministic Automation for Every Industry That Runs on Process
Pick the industry closest to your operation. Workflows are configured per industry constraint set — compliance rules, data schemas, integration depth — so the same engine adapts to the process the way your team already runs it.
Why it matters:
Operations that depend on a person remembering the next step run at the speed of attention. Workflows that fire on defined triggers run at the speed of the event itself.
Internal benchmark — finance & ops customers, Q1 2026
Your Workflows Fire Wherever Your
Deterministic workflows connect to every surface where process-relevant events occur, and execute the moment a defined trigger condition is met — regardless of where it originated. All triggers feed into the same workflow engine. One logic layer. Every entry point.
Web Forms & Portals
Submissions trigger intake, routing, and follow-up workflows instantly — with form data mapped directly to workflow variables.
Email & Inbox
Inbound emails matching defined criteria trigger classification, routing, response, and logging workflows without manual triage.
Connected Systems
Record updates, threshold breaches, or status changes in CRMs, ERPs, or databases fire workflows mid-process — keeping every system in sync.
Scheduled Events
Time-based triggers run reporting, reminders, renewals, and compliance checks on the cadence you define — no manual initiation.
API & Webhooks
External systems push events directly into your workflow layer, triggering downstream processes across your entire stack in real time.
Map It Once.
Every deterministic workflow starts with a trigger and a clear definition of what happens next. You set the conditions, map the branches, connect the systems, and deploy. From that point, the workflow handles itself.
Integrations
Every Workflow Step Connects to the System That Owns That Data
2,700+ native integrations — connected in real time, not queued and synced after the fact. CogniAgent reads and writes live, mid-execution.
ATS & HR
Workforce & Scheduling
Compliance & Verification
Communications
WhatsApp
business
The CogniAgent Difference
Built for operations teams that need workflows to run right, not run close. The table below maps the gaps between sequence-based automation tools and a fully deterministic engine.
Other Platforms
- Execution model: sequence-based with limited conditional logic
- Logic flexibility: fixed templates or developer-built flows
- Integration depth: surface-level connections via middleware
- Auditability: basic execution logs
- Error handling: fails silently or requires manual restart
- Setup: developer or iPaaS specialist required
- Pricing: per-workflow or seat-based lock-in
CogniAgent
- Fully deterministic — triggers, conditions, branching, and exception handling explicitly configured at every node
- Visual canvas with unlimited branching depth, custom conditions, and reusable logic blocks
- Native read/write access to 2,700+ systems mid-execution — no middleware layer required
- Full trace per workflow run — trigger, branch path, actions taken, systems updated, exceptions flagged
- Explicit exception branches catch, route, and log every error condition before it reaches downstream systems
- Visual no-code builder + pre-built templates + human expert onboarding on every paid plan
- Credit-based — pay per execution, top up anytime, credits never expire
What Operations Teams Are Seeing in the First 90 Days
85%
Reduction in process cycle time on workflows moved from manual handoff to trigger-based execution.
73%
Faster approval turnaround after replacing inbox-routed decisions with conditional routing logic.
60%
Drop in time spent on exception handling once edge cases were mapped into explicit workflow branches.
3x
Faster go-live compared to traditional iPaaS or developer-built automation setups.
WHY THIS MATTERS NOW
Every Manual Step in a Structured Process Is a Point of Failure
The Manual Failure Mode
What Deterministic Workflows Do Instead
Processes that depend on someone remembering
When a workflow relies on a person to initiate the next step, the process runs at the speed of their attention. Missed triggers mean delayed outcomes, not logged exceptions.
Trigger-Based Execution
The workflow fires the moment the condition is met. No one needs to remember, check, or chase.
Approvals that stall in inboxes
Routing a decision to a human via email creates a queue with no SLA. The process waits. Downstream steps wait with it.
Conditional Routing
Approvals are routed instantly to the right person, with automatic escalation if the SLA threshold is crossed. The workflow doesn’t wait — it escalates.
Data that falls out of sync between systems
When process steps update one system manually and skip others, records diverge. Reconciling them costs more time than the original process.
Live System Writes
Every workflow node that changes a record updates every connected system at the moment of execution. One action, every system, in sync.
Exceptions that fall through the gaps
Most automation breaks on edge cases. Without an explicit exception branch, the unexpected input either errors out or produces a wrong outcome with no flag raised.
Explicit Exception Handling
Every workflow maps exception paths before deployment. Unexpected inputs are caught, classified, and routed — not silently failed.
No visibility into what actually ran
When a process produces a wrong outcome, tracing it through a chain of manual steps and system updates takes hours. There is no log, only people to ask.
Full Execution Trace
Every workflow run produces a complete, timestamped record — trigger received, path taken, actions executed, outputs logged. Audit-ready by default.
Enterprise-Grade
Security & Control
Your automated workflows operate inside your security perimeter — not outside it. Encryption, access controls, retention policy, and audit logs are configured per workflow, per team, and per connected system.
Data Protection
All data passing through your workflows — between trigger, execution nodes, and connected systems — is encrypted in transit and at rest. Security protocols meet or exceed standards across finance, healthcare, and enterprise environments.
Privacy Assurance
Workflow data, process outputs, and system records processed through CogniAgent remain exclusively yours. Never used to train public AI models, never shared with third parties, never retained outside your defined policy.
Access & Permission Controls
Role-based access controls govern who can build, edit, activate, and view workflows at every level. Permissions are configurable per workflow, per team, and per connected system — so sensitive process logic stays protected.
Audit & Monitoring
Every workflow execution produces a timestamped, immutable log — trigger source, conditions evaluated, branch path taken, actions completed, systems updated, exceptions flagged. Compliance-ready by default.
Pricing
Pay only for what you use. Full visibility on every credit spent.
Pay-as-you-go
No subscription. No monthly fee.
Buy credits from $10
- 5,000 credits loaded on signup
- Full canvas + all AI features
- Bring your own API keys
- Production deployment
- Up to 5 user seats
- Human chat support*
- Credit usage dashboard
- Credits never expire
* activates on first credit purchase
Enterprise
Custom plan. Annual subscription,
negotiated rate.
- Annual credit package
- Everything in Pay-as-you-go, plus
- Custom user seats + SSO
- Extended usage logs
- Fully assisted onboarding
- Sales agent built by the CogniAgent team
- HVAC AI agent built by the CogniAgent team
- Premium support + SLA
Questions About
Deterministic Automation
Deterministic automation executes workflows based on explicit rules — triggers, conditions, and branching logic you define. The output for any given input is always the same. AI automation introduces reasoning and inference, which is valuable for conversations and decisions but unsuitable for processes that require consistent, auditable outcomes every time. CogniAgent supports both on the same platform — use each where it fits.
Exception branches are defined as part of the workflow before deployment. When an unexpected input or condition is encountered, the workflow routes to the exception path you configured — flagging, logging, notifying, or escalating, depending on how you’ve mapped it. Nothing fails silently.
Every workflow run produces a timestamped execution log — trigger source, conditions evaluated, branch path taken, each action completed, systems updated, and any exceptions flagged. Logs are accessible from the unified dashboard and exportable for compliance reporting.
Any event your connected systems can surface — a form submission, an inbound email, a CRM record update, a database threshold crossed, a scheduled time, or an inbound API call or webhook. If the event can be defined, it can trigger a workflow.
There is no enforced limit on branching depth. Workflows support nested conditions, multi-path branching, loop handling, and parallel execution branches — all configurable on the visual canvas without code.
Yes. CogniAgent supports API and webhook connections, so any system with an accessible endpoint can be connected as a trigger source or action target. The 2,700+ native integrations cover most standard business tools; custom connections handle the rest.
Logic updates can be staged and tested before replacing the live version. For minor adjustments, changes can be applied to active workflows with execution resuming against the updated logic from the next trigger. Full redeployment is only required for structural changes.
Simple trigger-action workflows can be live in under an hour using pre-built templates. Complex multi-branch, multi-system workflows typically take one to three days to configure, test, and deploy. Enterprise accounts get workflows built by the CogniAgent team, typically within two to three weeks from kickoff.
Each workflow execution draws from your credit balance based on the number of nodes executed and integration calls made. High-volume operations benefit from the Enterprise plan’s negotiated rate on prepaid credit volume. There are no per-workflow fees and no seat costs for automation — you pay for what runs.
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