What is an AI agent, and how is it different from a chatbot or basic automation?

An AI agent takes a goal, reads context from your systems, decides the next step within rules you set, and acts across your tools. A chatbot mostly answers questions, and basic automation follows fixed if-then paths. An agent can handle variation in the work and knows when to hand a case to a person.

Do we need to replace our CRM, ERP or helpdesk?

No. Agents work inside the systems you already run and connect to them through their existing interfaces. There is no new platform for your team to log in to or manage.

How do you keep agents under control?

You define the rules, permissions and approval steps. Each agent only has access to the tools it needs, and every action is recorded with what the agent saw, decided and changed. Read more about Agent Governance.

Which workflow should we start with?

Start with a repetitive, high-volume workflow that has clear rules and a measurable outcome, such as inbound requests, scheduling, or overdue invoice follow-up. An AI Workflow Audit helps rank your candidates by value and feasibility.

Which systems can agents connect to?

We work with Salesforce, NetSuite, SAP Business One, Shopify, QuickBooks, WooCommerce, Zoho, Zuper, Attio and Twenty, among others. If you run something else, tell us and we will scope the connection.

What happens when an agent is not sure what to do?

It escalates to a person with the full context instead of guessing. You set the thresholds that decide when an agent acts on its own and when it asks for approval.

What are AI agent development services?

AI agent development services cover the strategy, design, build, integration and ongoing management of AI agents that complete tasks on their own inside your business systems. That includes choosing the workflow, selecting the language model, connecting your tools, adding guardrails and approvals, testing, deployment and monitoring.

How much do AI agent development services cost?

Cost depends on the number of workflows, how many systems the agent connects to, the quality of your data, and the level of ongoing support. A focused single-workflow agent costs much less than a multi-agent system across several departments. After a short discovery call we give you a scoped proposal with a realistic range.

How long does it take to build an AI agent?

A focused agent for one workflow can often go through audit, design and pilot in a matter of weeks. Multi-agent systems with several integrations take longer. We start with one workflow, prove it with your team reviewing results, and then extend to the next.

What is a multi-agent system?

A multi-agent system is a set of AI agents that each own a specific role and pass work to each other. For example, one agent reads an incoming invoice, another matches it to the purchase order, and a third updates the schedule. An orchestration layer coordinates the handoffs and keeps a record of every step.

What is RAG, and do AI agents need it?

RAG (retrieval-augmented generation) lets an agent search your documents, policies and records before it responds. Most business agents need it, because it keeps answers based on your own information instead of the model's general knowledge, and it reduces made-up answers.

How do you reduce AI hallucinations in agents?

We combine several controls: retrieval from your approved data, tightly written instructions, output validation, confidence thresholds, limited tool permissions and human approval for sensitive actions. Every run is logged, so errors can be found and fixed quickly.

AI voice agent development services

Every call answered, every time.

Natural-sounding voice agents that answer, qualify, book and follow up by phone, connected to the CRM, calendar and helpdesk you already run.

Hear how it works

AI voice agent development company

Voice AI agents that sound natural and finish the job.

RethinkingWeb designs, builds and manages custom AI voice agents for teams that lose calls, time and revenue to the phone. Each agent listens, understands, acts inside your systems, and speaks back in real time.

Unlike an old phone tree, a voice agent has a real conversation. It can ask follow-up questions, check an order, book a slot, and log the call in your CRM. When a caller needs a person, it transfers the call with a summary so nobody repeats themselves. Our voice agent development services cover use-case selection, conversation design, speech and language models, integrations, testing and ongoing monitoring.

Live callAI voice agent

“Thanks for calling. I can help with that. Let me check your account.”

See a call unfold

Pick a scenario and watch the agent work.

Sample conversations showing what the caller hears and what the agent does behind the scenes.

Sample call

Under the hood

What happens in the second after a caller speaks.

Five steps run in real time, with your rules and permissions applied at every one.

1
Hear
Speech-to-text turns the caller's words into text, tuned for accents, noise and interruptions.
2
Understand
A language model works out intent, using RAG to check your policies, prices and records.
3
Act
Function calling books the slot, checks the order or updates the CRM through approved APIs.
4
Speak
Text-to-speech replies in a natural voice you choose, in a few hundred milliseconds.
5
Record
Transcript, summary and outcome are logged, so every call is reviewable and searchable.

What voice agents handle

The calls your team shouldn't have to take.

Inbound call answering

Pick up instantly, day or night, and route or resolve the call without a queue.

Appointment scheduling

Check live availability, book, reschedule and confirm by text.

Lead qualification

Ask your qualifying questions and pass warm leads to a rep with notes.

Outbound follow-up

Reminders, callbacks and no-show recovery, at times and volumes you set.

Order & status enquiries

Look up orders, jobs and tickets and give the caller a straight answer.

Payment reminders

Polite collection calls that log every reply and escalate disputes to a person.

Built for real callers

A person is always one step away.

Voice agents hand over smoothly, keep records for review, and stay inside the rules you define. See how Agent Governance works.

Warm transfer with a call summary
Escalation triggers you control
Recordings and transcripts for every call
Consent and disclosure built into the script

Talk to us about voice agents Start with an AI Workflow Audit

Questions

Answers before you ask.

What is an AI voice agent, and how is it different from an IVR or phone tree?

An AI voice agent holds a real spoken conversation, understands what the caller wants, and completes the task in your systems. A phone tree only offers fixed menu options such as “press 1”. A voice agent can handle varied requests in natural language and knows when to transfer to a person.

Can it handle both inbound and outbound calls?

Yes. Inbound agents answer, qualify, book and resolve. Outbound agents make reminder, follow-up and callback calls on the schedule and volume you set, within your calling rules.

Which systems can a voice agent connect to?

We connect voice agents to your CRM, calendar, helpdesk, ERP and accounting tools, including Salesforce, NetSuite, SAP Business One, Zoho, QuickBooks and more. If you run something else, tell us and we will scope the connection.

What happens when the agent can't help the caller?

It transfers the call to a person with a summary of what was said and what was already done, so the caller does not repeat themselves. You set the triggers, such as unhappy callers, sensitive topics or low confidence.

How do you handle call recording, consent and privacy?

We build disclosure and consent steps into the call script, apply the recording rules for the regions you call, and limit the agent's access to only the data it needs. Every call is logged with a transcript for review. Your legal team should confirm requirements for your markets.

Can voice agents speak multiple languages and understand accents?

Modern speech models cover many languages and accents. We confirm coverage for your callers and test with real call samples before launch, then tune vocabulary such as product names and place names.

How do you stop a voice agent from giving wrong answers?

The agent answers from your approved data using retrieval, follows tightly written instructions, and can only take actions it has permission for. Confidence thresholds trigger a handoff instead of a guess, and every call is logged so errors can be found and fixed.

How much do AI voice agent development services cost, and how long do they take?

Cost depends on call volume, the number of systems connected, and the level of ongoing support. A focused single-workflow voice agent can often be piloted in a matter of weeks. After a short discovery call we give you a scoped proposal with a realistic range.