FORGENIX // AI AGENTS & CUSTOMER EXPERIENCE

NOT CHATBOTS. PRODUCTION SYSTEMS THAT OWN A WORKFLOW.

Sales, support and voice agents that answer in seconds, 24/7, plus AI copilots that assist your team in-flow. Wired into your CRM and telephony from day one.

THIS DOMAIN INCLUDES //

AI AGENT DEVELOPMENT

AI AGENT DEVELOPMENT

WHAT IT IS //

An AI agent is software built on a language model that takes a goal, decides on the steps to reach it and carries them out by calling tools, APIs or other systems, instead of only replying to a single prompt. AI agent development means designing, building and deploying agents for a specific task or role.

WHAT WE DO //

We build agents for a single job — sales, support, voice, back-office — wired into your CRM, telephony and knowledge base, with a clear KPI and an escalation path your team controls.

AGENTIC AI DEVELOPMENT

AGENTIC AI DEVELOPMENT

WHAT IT IS //

Agentic AI describes systems in which AI agents work through a task in several steps with some autonomy: they plan, act, check the result and adjust instead of following a fixed script. In larger processes, several agents work together, handing off tasks and checking each other's output.

WHAT WE DO //

We design multi-agent systems for processes too complex for one agent alone — coordinating qualification, scheduling and CRM updates as a single flow, with one oversight point for your team.

AI COPILOT

AI COPILOT

WHAT IT IS //

A copilot is an AI assistant built into a tool your team already uses, such as a CRM, a helpdesk or an internal dashboard. It answers questions, drafts responses and completes steps without the user switching to a separate chat window.

WHAT WE DO //

We build copilots for sales, support and back-office teams, for tasks such as candidate screening and onboarding, and ground their answers in your own data.

VOICE AI AGENTS

VOICE AI AGENTS

WHAT IT IS //

A voice AI agent handles a phone conversation the way a human operator would: understanding spoken intent in real time, responding naturally, and completing tasks such as booking or routing — without a human on the line.

WHAT WE DO //

We build AI phone answering with intent routing and call summaries, wired into your booking and CRM systems.

PROBLEM //

  • Handling more leads, tickets and calls means hiring more people.
  • Night and weekend leads go cold by morning, and the deal often goes to whoever replies first.
  • Off-the-shelf bots die at the demo: no CRM wiring, no process memory, no ownership of outcomes.

OUR APPROACH //

We build each agent on your real process and data, with multi-agent orchestration where one agent isn’t enough. Oversight is escalation-based: the agent takes the volume, your team takes the exceptions. Every agent has a job description, KPIs and an owner, plus its own identity and least-privilege access to tools. High-impact actions need approval, and every action is logged. Where each agent runs is decided per workflow in the audit: on your own infrastructure for sensitive workloads, or on public models where the task permits.

DEPLOYED BY FUNCTION //

SALES
  • AI SDR: first contact, qualification, CRM handoff
  • 24/7 inbound lead processing
  • WhatsApp agent
  • AI outbound calls
SUPPORT & CX
  • 24/7 FAQ agent on your knowledge base
  • Ticket triage & routing
  • Anti-no-show reminders
VOICE & RECEPTION
  • AI phone answering — no missed calls
  • Intent routing with summaries
  • Bookings & scheduling
  • Agent hub for voice and chat
COPILOTS & TEAM AGENTS
  • AI copilots for sales & ops teams
  • Candidate screening
  • Onboarding agent
  • Procurement agent: requests, quotes, approvals
EVERY AGENT SHIPS WITH // ▸ WEB ADMIN UI ▸ CRM INTEGRATIONS ▸ ANALYTICS DASHBOARD ▸ PERMISSIONS & ACTION LOG ▸ 30-DAY EARLY LIFE SUPPORT

WHAT YOU GET //

  • A working agent in production within weeks
  • Measured ROI against pre-agreed KPIs
  • Full ownership: code, credentials, accounts
  • Escalation protocol your team controls
  • Agent permissions and an action log you control
  • Deployed where your data allows — your infrastructure, a private cloud or public models

DATA// Documented deployments reached 71–82% ticket deflection and 90–95% automation at scale; leads contacted within an hour were about 7x likelier to qualify than leads reached later. — Stanford Digital Economy Lab, 2026; Harvard Business Review / industry studies

PATH// this service covers the IMPLEMENT phase of the path — see all services and how it lands on the calendar.

RELATED//