Custom AI agents that do real work in your operation.

We architect, build, and deploy autonomous AI agents that handle specific jobs in your workflow. Every engagement is scoped before work starts.

Custom agent architecture. 4 to 8 week delivery. Fixed scope on every project.

The Technology

What Agentic AI Means

An AI agent is software that perceives its environment, makes decisions, and takes action to achieve a goal. Unlike a chatbot or a simple automation, agents handle multi-step tasks, adapt to changing inputs, and operate continuously without manual triggers.

Research Agents

Monitor markets, track competitors, summarize news, and surface signals relevant to your team on a schedule.

Qualification Agents

Evaluate inbound leads, score accounts, enrich records, and route the right ones to the right people automatically.

Workflow Agents

Handle multi-step operational tasks: generate reports, process documents, update records, and coordinate across systems.

How We Work

Our Implementation Process

01

Scoping

Define the agent's job, inputs, outputs, and boundaries. Agree on success criteria before work starts.

02

Architecture

Design the agent's decision logic, tool integrations, and safety controls.

03

Build and Test

Build the agent in a sandboxed environment. Test against real data from your operation.

04

Integration

Connect the agent to your live systems: CRM, ERP, email, and any APIs it needs to operate.

05

Handoff and Monitor

Deploy to production. Run alongside your team for two weeks. Tune based on real results.

Where Agents Work

Use Cases By Function

Sales

Account research, lead qualification, follow-up sequencing.

Marketing

Campaign analysis, content summarization, lead scoring.

Operations

Inventory monitoring, order status tracking, exception handling.

Finance

Invoice processing, expense categorization, reporting automation.

HR

Resume screening, onboarding coordination, policy Q&A.

Customer Success

Health score monitoring, renewal risk flagging, escalation routing.

Under the Hood

Technical Capabilities

Multi-Agent Orchestration

Coordinate networks of specialized agents that hand tasks between each other.

Human-in-the-Loop

Build approval gates and human review steps into any agent workflow.

Continuous Learning

Agents that improve from feedback and adapt to changes in your data.

Enterprise Security

Role-based access, audit logging, and data handling that meets enterprise security requirements.

4-8 weeks
Delivery
Fixed scope
Every project
24/7
Operation
Enterprise-ready
Security
Client results

Real outcomes from real clients

Not projections. Actual results from businesses that transformed with Captivix.

Xmplifi case study

Employee Advocacy & MarTech

Xmplifi's AI-Driven Platform Achieves 75% Boost in User Engagement

A leading employee advocacy platform was revolutionized with AI-driven personalization, cloud migration, and modern tech stack upgrade by Captivix.

80%Reduction in Page Load Times
2xIncrease in User Capacity
75%Boost in User Engagement
“When we partnered with Captivix for our digital transformation, we knew we were setting high expectations. They not only met these expectations—they surpassed them. The due diligence and custom development work offered by Captivix has been nothing short of revolutionary for Xmplifi.”
Scott Golas, Founder
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In their words

When we partnered with Captivix for our digital transformation, we knew we were setting high expectations. They not only met these expectations—they surpassed them. The due diligence and custom development work offered by Captivix has been nothing short of revolutionary for Xmplifi.
Scott GolasFounder
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Captivix exemplified the highest level of professionalism. They helped me find the best path forward.
Dan TanejaCEO
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The Captivix team played a crucial role in optimizing Navistar's pricing systems. His innovative approach to IT and pricing automation streamlined operations and significantly enhanced our sales and profitability.
Rodney McGeeNavistar
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I would suggest that Captivix's is the same and we found this to be one of its biggest strengths. At no point during the process did we feel isolated. Our relationship has been and continues to be, one of collaborative effort.
Kurt SchnakenbergChicago Brass
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FAQ

Common questions about agentic AI

What makes this different from RPA?

RPA automates rigid, rule-based tasks. AI agents handle ambiguous, multi-step situations that require judgment, not just rule-following.

Do agents replace people?

No. Agents handle the repetitive, research-heavy, or monitoring tasks that drain your team's time. Your people focus on decisions and relationships.

How long until we see results?

Most agents are live within 4 to 8 weeks of scope sign-off. Results are measurable from the first week of operation.

What systems can agents connect to?

Any system with an API: Salesforce, HubSpot, Dynamics 365, SAP, NetSuite, Slack, Teams, Gmail, and most modern SaaS platforms.

What if the agent makes a mistake?

Every agent is built with error handling, logging, and configurable fallback paths. Human-in-the-loop checkpoints can be added anywhere in the workflow.

Ready to deploy your first AI agent?

Tell us the job you want automated. We will scope it and show you what is possible in a 30-minute call.