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Aygentix

Custom AI Agents & Autonomous Workflows

AI agents that handle the follow-up, so your team doesn't have to

We build AI agents that read, decide and act across your inbox, CRM, ERP and help desk. They qualify leads, chase vendors and triage tickets around the clock, and they hand off to a person whenever judgment is needed.

Book a 30-min callGet a free assessment

Who AI agents are for

  • Sales teams with more inbound leads than reps can respond to quickly
  • Operations and procurement teams that spend hours chasing vendors for quotes, confirmations and documents
  • Support teams buried in Tier-1 tickets that follow the same patterns
  • Any team running a repeatable, multi-step process across email and business systems

Problems AI agents solve

ProblemLeads go cold while waiting for a reply
What changes with an AI agentEvery new lead gets a fast, relevant reply, is qualified against your criteria and is booked or routed to the right rep
ProblemVendor follow-ups fall through the cracks
What changes with an AI agentThe agent chases missing quotes, delivery dates and documents, then logs each answer in your system
ProblemTier-1 tickets crowd out complex work
What changes with an AI agentTickets are categorized, prioritized, answered when the answer is known, and escalated with a summary when it isn't
ProblemProcesses stall between systems
What changes with an AI agentThe agent moves data between your inbox, CRM, ERP and help desk, so nobody has to copy and paste

AI agents we build

  • AI SDR agents that respond to inbound leads, ask qualifying questions, update the CRM and book meetings
  • Procurement and vendor follow-up agents that request quotes, chase confirmations and log responses
  • Support triage agents that classify, route, draft replies and escalate Tier-1 tickets
  • Multi-agent workflows where specialized agents hand work to each other across a full process
  • Chat and voice assistants for your website, Microsoft Teams, Slack, WhatsApp or phone line
  • Dashboards and audit logs that show what each agent did and why

How we build an AI agent

  1. Map the workflow.

    We document each step, decision and system the process touches today.

  2. Design the agent.

    We define what the agent can do on its own, what needs approval, and when it hands off to a person.

  3. Build and connect.

    We build the agent and connect it securely to your email, CRM, ERP, help desk and other tools.

  4. Pilot with oversight.

    The agent runs on real work with your team reviewing its actions, and we tune it on their feedback.

  5. Scale and monitor.

    We expand its autonomy step by step, with ongoing monitoring and reporting.

AI agent use cases

Example scenarios, not client projects.

  • B2B services firm: inbound lead response.

    An agent answers new leads in minutes, qualifies them and books the good ones with a rep.

    Read the full example →

  • Manufacturer: vendor follow-up.

    Suppliers are chased automatically for confirmations and ship dates, and purchase orders update when they reply.

    Read the full example →

  • Software company: Tier-1 support triage.

    Incoming tickets are tagged and prioritized. Password, billing and how-to questions get an instant draft answer for an agent to approve, and bugs go to engineering with a clear summary.

AI agent tech stack

We pick the right tools for your requirements, cost and data rules. Typical components include:

AI models
leading commercial LLMs, or open-source models hosted privately
Agent frameworks
LangGraph, Model Context Protocol (MCP) servers and custom tool integrations
Channels
email, website chat, Microsoft Teams, Slack, WhatsApp and voice
Integrations
your CRM, ERP, help desk, calendar and databases, through APIs and secure connectors
Hosting
AWS, Microsoft Azure, Google Cloud, a private cloud or on-premises

AI agent engagement models

  • Build

    We design, build, deploy and support your AI agent end to end.

  • Consult

    We assess your workflows, pick the best agent use cases and design the architecture for your team to build.

  • Staff

    Our AI engineers join your team to build and run agents alongside your developers.

AI agents FAQs

Will an AI agent send messages without anyone checking?

Only if you want it to. You decide which actions need approval. Most clients start with human review on every outgoing message, then relax it as trust builds.

Which systems can the agent work with?

Any system with an API, database access or email interface, including most ERP, CRM and help desk platforms.

How is this different from a chatbot?

A chatbot answers questions. An agent completes tasks: it reads, decides, updates records and follows up across several systems.

What happens when the agent isn't sure?

It hands the task to a person with a short summary of the context, so nothing is guessed and nothing is lost.

How do you keep agents secure?

Each agent gets only the access it needs. Every action is logged, and we test agents against misuse and prompt-injection attacks before launch.

What happens next

  1. Book a call.

    A free 30-minute conversation about your process and goals.

  2. Free assessment.

    We review your workflow and systems, then recommend where an agent will pay off first.

  3. Proposal.

    A clear scope, timeline and price, starting with a pilot.

Put your first AI agent to work

Tell us which follow-up or handoff costs your team the most time. We'll show you what an agent could take off their plate.

Book a 30-min callGet a free assessment