AI Agent Development

What is AI agent development?

AI agent development is building software that uses a language model to carry out a task in steps: reading a request, looking up records, using tools such as a calendar or CRM, and producing an answer or action. Unlike a simple chatbot, an agent can act inside your systems, which is why its job needs clear limits.

We build agents for bounded, checkable jobs. The agent knows what it is allowed to do, which information it may use, and who to hand over to when a case falls outside that. A person can always see what it did and why.

Agents work best on top of a process that already runs well. If the steps are unclear today, we fix that first, because an agent on a vague process just makes vague decisions faster.

  • Can you describe the job in a few sentences, with a clear finish?
  • Could a person check the agent's work in under a minute?
  • Who should take over when the agent is not sure?

From one job to a working agent

An agent starts with one job and clear limits on what it may do. It is tested on real cases and runs alongside your staff, with every action logged, before it works on its own.

  1. 1. Pick the job

    We choose one bounded task, agree what done looks like and who reviews the agent's work.

  2. 2. Set the limits

    We list the information the agent may use, the tools it may call and the cases it must hand over.

  3. 3. Build and test on real cases

    The agent is tested against examples from your own history, including the awkward ones.

  4. 4. Run alongside staff

    The agent works in parallel with your team, and its decisions are compared before it acts on its own.

  5. 5. Go live with logging

    Every run is logged, so any answer or action can be traced back and corrected.

AI Agent Development | Algon Solutions

Why AI agents go wrong

Most agent failures come from giving the agent too much freedom and too little structure.

  • No defined job

    An agent asked to 'help customers' has no finish line, so nobody can tell whether it worked.

  • Answers from anywhere

    Without approved sources, the agent fills gaps with plausible guesses.

  • No hand-off path

    When the agent is stuck, the customer is stuck too, because no person is waiting on the other side.

  • No record of what it did

    When a complaint arrives, nobody can trace which step the agent took or why.

  • Too many permissions

    Agents given wide access to systems can change records they were never meant to touch.

  • Confident when unsure

    The agent answers every question instead of escalating the ones it should not handle.

Agents we build

Each agent has one job, a set of approved tools and a named person to hand over to.

  1. Question-answering agents
    01

    Question-answering agents

    Answer customer, patient or student questions from approved information, and say when they cannot.

  2. Triage & routing agents
    02

    Triage & routing agents

    Read incoming requests, decide type and urgency, and pass them to the right owner with a short summary.

  3. Follow-up agents
    03

    Follow-up agents

    Chase missing documents, unconfirmed appointments and unanswered enquiries on a schedule.

  4. Drafting agents
    04

    Drafting agents

    Prepare replies, letters and summaries from the relevant records for a person to approve.

  5. Record look-up agents
    05

    Record look-up agents

    Find a booking, an invoice or a case history and return what staff need, without them switching systems.

  6. Hand-off & escalation
    06

    Hand-off & escalation

    Pass the conversation to a named person with full context, so nobody has to ask the customer twice.

What the agent does, and where a person takes over

JobWhat the agent doesWhen it hands over
Answering questionsReplies from approved information and shows where the answer came fromThe question is outside approved information or needs judgement
TriageSorts requests by type and urgency and routes themA request looks urgent, sensitive or does not fit a category
Follow-upsSends reminders and chases missing items on a scheduleThe person has not responded after the agreed number of attempts
DraftingPrepares a reply or document from the relevant recordsAlways: a person approves before it is sent
Record look-upsFinds and summarises records staff ask forThe record is missing, conflicting or access is restricted

Hand-off rules are agreed with your team during planning and can be tightened or relaxed as trust builds.

How our agents behave

  • Least access

    Each agent gets only the permissions its job needs, and nothing more.

  • Every run logged

    Inputs, steps, tools used and outputs are recorded for review.

  • Escalates when unsure

    Uncertain cases go to a named person instead of being guessed at.

  • Grounded answers

    Replies come from approved information, with sources shown where it helps.

AI teacher agents for every department

A college platform with custom AI teacher agents built for each department, delivered in eight weeks.

Campus Platform: AI Teacher Agents, AI & Automation · AI Agents

Campus Platform: AI Teacher Agents

One AI teaching assistant per department, grounded in that department's own material.

1
AI agent per department
24/7
Student access
8 wk
Full platform build
Read the case study

Frequently asked questions

  • A chatbot replies to messages. An agent can also take steps: look up a record, check a calendar, update a status or hand the case to a person. That extra reach is why we give agents narrow jobs and clear limits.

  • Jobs with clear edges that a person could check quickly: answering from approved information, sorting requests, chasing follow-ups, preparing drafts and looking up records.

  • It says so and hands over to a named person with the full conversation and any records it found, so the customer does not have to repeat themselves.

  • Only where you agree it should, and only with the permissions that job needs. Many agents start by suggesting actions for a person to approve, and act alone once trust is built.

  • Every run is logged with its inputs, steps and outputs. Your team can review individual cases and we use the logs to improve the agent.

  • Yes. We connect agents to the channels your customers already use. The exact channels are confirmed for each project.

  • Yes, for tasks like patient questions, appointment follow-ups and triage, with a clinician or care coordinator always reviewing anything clinical.

Bring us your bottleneck.

If a process in your organisation depends on one person remembering to follow up, describe it to us. You will get a straight answer on whether it needs automation, software, a team, or none of these.

Or write directly to support@algonsolutions.com

Describe the bottleneck

We reply within one working day.

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