01 - Cross-stack agents
AI agents that work across your entire stack
Query Salesforce, SAP, and Zendesk in one sentence. Get answers instantly.
sentence to every system1
The 2026 Reality
40% of enterprises are deploying
agentic AI this year
Gartner predicts 40% of enterprise apps will embed AI agents by end of 2026. The question isn't if—it's whether you'll build or buy. And building takes 12-18 months you don't have.
01 / 03
Agentic AI that delivers outcomes - not tools you have to figure out
Five places autonomous agents earn their keep. Average payback: 14 months.
02 - Customer service
Customer service AI with 340% ROI
Autonomous agents that resolve issues, not just route them.
avg ROI340%
03 - Documents
Document processing that saves weeks
Contracts, invoices, and compliance docs extracted automatically.
cost reduction25-40%
04 - Workflows
Workflow automation your CFO will love
Budget reconciliation, reporting, and approval routing.
compliantSOC2
05 - Knowledge
Knowledge AI that captures tribal expertise
Answers from docs, emails, Slack, and CRM instantly.
institutional memory24/7
Imversion - platform architecturegovernance - built in
Built for enterprise reality
Watch a task flow through production-grade infrastructure - orchestrated, remembered, routed, governed, and streamed. Not a prototype.
01 - CORE
Agent Orchestrator
Coordinates multi-agent workflows and reasoning chains.
02 - STATE
Memory
Persistent, queryable context across every interaction.
03 - MODEL
Multi-Provider LLM
Routes each task to the right model. No lock-in.
04 - ACCESS
Secure API Gateway
Governed access with policy and rate control.
05 - STREAM
Real-Time Websockets
Live agent activity streamed to your apps.
> orchestrator: task received, planning...> memory: loading context + history...> llm: routing to best-fit model...> gateway: authorizing system access...> stream: pushing result to your appavg end-to-end - 4.2s - audit logged
Why it matters
Full audit trail of every decision. Know exactly why your AI did what it did - critical for compliance and debugging.
Why it matters
Every action is governed, logged, and reversible. Policy lives in the gateway - not buried in prompts.
AI voice agents for
support automation
We build production-ready voice agents that answer customer calls, understand context, trigger workflows, and resolve support issues across your existing systems.
Conversation
Multi-turn AI voice calls
Integration
CRM and ticketing integration
Knowledge
Knowledge base answers
Governance
Auditable support outcomes
Response latency<300ms
Languages40+
Coverage24/7
Platform subscription.
Custom build.
You get our production-ready platform on subscription. We build the custom parts - your integrations, workflows, and use cases.
Platform included
Orchestration, memory, LLM routing, APIs. Production-ready from day one.
Custom build scoped
We build what's unique to you - integrations, business logic, workflows.
No surprise costs
Fixed platform subscription. Custom build quoted upfront. No hidden fees.
Production in weeks
Platform ready now. Custom build: 6-8 weeks typical. Not 12-18 months.
FactorTraditionalImversion
Infrastructure
−Build from scratch
+Platform included
Custom development
−$150K-$500K+
+Scoped & quoted
Time to production
−12-18 months
+6-8 weeks
Ongoing maintenance
−15-30% of build cost
+Included in subscription
Get a quotescoped in days, not quarters
Ready to bring your
vision to life?
Whether you're starting fresh or scaling up, we're here to help you build something exceptional.
Or reach out at [email protected]
AI Services FAQ
AI Services Questions
Answers for teams evaluating AI agents, process automation, GPT integration, and production AI platforms.
What AI services does Imversion provide?
+
Imversion provides AI agent development, GPT integration, RAG systems, AI process automation, customer support automation, knowledge AI, and production AI platform engineering.
Do you build AI prototypes or production AI systems?
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We can start with a proof of concept, but the goal is production AI. That means secure integrations, monitoring, human review paths, evaluations, and deployment practices that work beyond a demo.
How do AI agents connect to our business systems?
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AI agents connect through APIs, databases, documents, CRMs, ticketing systems, and internal tools. We design permissions, guardrails, and audit trails around those integrations.
Which AI service should we start with?
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Start with the workflow that has clear data access, high manual effort, and measurable business impact. Common starting points include support automation, document processing, internal copilots, and sales or operations workflows.