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AI & Automation

AI Agent Development Services

What is an AI Agent?

An AI agent is software that does not just answer a question — it gets a job done. Given a goal, it breaks the work into steps, uses the tools it has been given (your CRM, email, databases, internal APIs) and checks its own results until the task is finished or it needs a person to decide.

Where a chatbot tells you what to do, an agent does it: updates the record, files the ticket, sends the follow-up. Our work is making that safe — clear limits on what each agent may touch, approvals where they matter, and a log of every action it takes.

Plans multi-step workUses your toolsAsks before it acts

How it works

How an AI Agent Gets Work Done

Every task runs the same loop — understand, plan, act, check — with a person in the loop wherever the stakes call for one.

  1. Goal

    A person or a system event hands the agent a task in plain language.

  2. Plan

    The agent breaks the task into steps and decides which tools each one needs.

  3. Act

    It calls your systems — reads, writes, updates — within the permissions it was given.

  4. Check

    Results are verified; anything risky or unclear is sent to a person to approve.

  5. Done

    The task is complete, with every step recorded and easy to review.

What we provide

AI Agent Services We Provide

From a single task agent to a team of agents working across departments — designed, built and run with you.

  • Task & Workflow Agents

    Agents that own a repeatable job end to end — research, data entry, follow-ups, reporting.

    • Lead research and CRM updates
    • Report building and distribution
    • Scheduled and event-triggered runs
  • Customer-Facing Agents

    Agents that resolve requests, not just reply to them — bookings, refunds, order changes.

    • Web, WhatsApp and email channels
    • Actions inside your order and booking systems
    • Smooth hand-off to a human agent
  • Multi-Agent Systems

    Specialist agents that hand work to each other, coordinated so each stays within its role.

    • Planner, worker and reviewer roles
    • Shared memory and task queues
    • Clear ownership for every step
  • Agent Tools & Integrations

    The secure connectors that let agents work with your software, with permissions set per action.

    • CRM, ERP, helpdesk and email
    • Internal APIs and databases
    • MCP servers and custom tools

Use cases

Where AI Agents Earn Their Keep

The best first agent owns a task that is frequent, rule-based and eats hours of someone's week.

  1. Sales operations

    Research new leads, enrich records and draft the first outreach for review.

  2. Customer support

    Resolve routine requests end to end and escalate the rest with full context.

  3. Finance & back office

    Match invoices, chase missing documents and prepare reconciliations.

  4. IT & internal ops

    Handle access requests, onboarding checklists and routine system tasks.

Technologies We Use

  • OpenAI
  • Claude
  • Gemini
  • LangChain
  • LangGraph
  • CrewAI
  • pgvector
  • Pinecone
  • Azure
  • AWS Bedrock
  • Vertex AI
  • AI ModelsOpenAI, Claude, Gemini
  • Agent FrameworksLangChain, LangGraph, CrewAI
  • Memory & Datapgvector, Pinecone
  • CloudAzure, AWS Bedrock, Vertex AI

Proven models and agent frameworks, chosen for reliability and control rather than novelty.

Contact

Our process

Our AI Agent Development Process

One agent, one task, working early — then widened step by step as it proves it can be trusted.

  1. Discovery

    We map the task, the systems it touches and the decisions that must stay with a person.

    • Task map
    • Permissions plan
    • Success measure
  2. Prototype

    We build a working agent in a sandbox and run it on real past cases from your team.

    • Working agent
    • Test runs
  3. Build & Integrate

    We connect it to live systems with approvals, limits and full action logging.

    • Production release
    • Approval flows
  4. Launch & Support

    We watch every run after launch, tune the agent and hand it more work as it earns trust.

    • Monitoring
    • Regular updates

Start here

Not sure what to automate first?

Tell us which tasks eat your team's week. We will help you pick the one where an agent pays off fastest, and show you what it would look like on your own systems.

Why Proponent

AI Agents You Can Actually Trust

An agent that acts on your systems has to be predictable. We build in the limits, the approvals and the audit trail from day one — not after something goes wrong.

Countries Served
70+
Projects Completed
600+
Hours Support
24x7
Office Locations
5
  • Least-privilege access

    Each agent can touch only the systems and actions its task needs — nothing more.

  • People stay in charge

    Approvals are built in wherever money, customers or data are at stake.

  • Every action logged

    A full, readable record of what the agent did, when and why.

  • Tested on real cases

    Agents are measured on your past work before they handle live tasks.

  • Grows with trust

    Start with one task, then widen the agent's remit as results prove out.

  • See an agent run on your own workflow.

    Walk us through one task your team repeats every week. We will show you how an agent would handle it, step by step.

Start a project

Tell us what you are building

A few lines is enough to start. Tell us the problem, not the solution, and we will come back with the questions that shape the plan.

What happens next

  1. We read it properly

    Someone who would work on the project reads your note and comes back with questions, not a sales script.

  2. We scope it together

    One call to agree the problem, the constraints and what finished looks like — before anyone talks about price.

  3. You get a proposal

    Scope, sequence, timeline and cost, in writing, with the risks we would plan for named up front.

To learn more about how we protect your data, please refer to the Proponent privacy policy.

Next step

Your Partner For What Comes Next. Let's Start The Conversation.

Starting is the easy part. Tell us where you are and what you are trying to reach, and we will map the route — the scope, the sequence, and the risks worth planning for now rather than later. From that first conversation through build, launch and everything after, the same team stays with it.