We assess your readiness, identify the workflows worth automating, estimate the return, and plan the rollout. Start with an AI Workflow Audit to rank candidates by value and feasibility.
AI agent development services
We put AI agents to work.
Inside the systems you already run—connecting signals, decisions, and actions without adding more software to your stack.
Meet the agentsAI agent development company
AI agent development services built around the systems you already run.
RethinkingWeb designs, builds and manages custom AI agents for sales, support, finance and operations teams. Each agent is an LLM-powered worker that reads context from your tools, decides the next step within your rules, and acts.
Most companies do not need another chatbot. They need work to move between the CRM, the inbox, the accounting system and the field team without someone copying details from one screen to the next. That is what our AI agent development services are for. We build agents that take a goal, gather the right context, use your existing tools, and hand the case to a person when judgment is needed.
We build single-purpose agents for one workflow, and multi-agent systems where specialist agents pass work to each other, for example an email agent that reads an invoice, a finance agent that matches it to the purchase order, and an operations agent that updates the job. Every agent has a defined role, limited permissions and a full record of what it saw, decided and changed.
Our process covers the whole lifecycle: strategy and use-case selection, agent architecture, prompt engineering, retrieval-augmented generation (RAG), function calling and API integration, testing, deployment and ongoing monitoring. You get a working agent inside your stack, not a prototype that lives in a demo.
A capable digital workforce
Give every recurring workflow an owner that never loses the thread.
Each agent has a focused role, clear boundaries, and access only to the tools it needs. Together, they move work across the gaps where teams usually lose time.
Customer service
Frontline Agent
Answers requests, gathers context, updates records, and routes only the conversations that need a person. Customers get a fast, informed reply at any hour, and your team spends its time on the cases that need judgment.
- Request Handling to answer common questions across chat, email and portals
- Context Gathering to pull customer and order history before replying
- Record Updates to keep your CRM and helpdesk accurate
- Smart Routing to hand only the cases that need a person to your team
Always-on response
Operations
Scheduling Agent
Matches demand, availability, location, and priority to keep work moving without manual coordination. When plans change, the agent finds what is affected and proposes the next best slot.
- Demand Matching to line up incoming jobs with the right people
- Availability & Location Checks to avoid gaps and unnecessary travel
- Priority Handling to put urgent work first, using your rules
- Automatic Rescheduling to notify customers when a change is needed
Fewer scheduling gaps
Revenue
Accounts Agent
Follows up on open balances, records every interaction, and escalates exceptions with full context. Collections stay consistent, and your finance team only steps in where a conversation needs a person.
- Balance Follow-up to send reminders on the schedule you set
- Interaction Logging to record every reply in your accounting system
- Payment Status Sync to keep invoices and balances up to date
- Exception Escalation to route disputes to your finance lead with context
Consistent follow-through
Intelligence
Signals Agent
Monitors changing conditions, identifies risk early, and starts the right workflow before work is disrupted. Your team hears about problems while there is still time to act.
- Condition Monitoring to watch events across your connected systems
- Early Risk Detection to spot delays and exceptions sooner
- Workflow Triggers to start the right agent or process automatically
- Alerts With Context so your team sees what happened and what was done
Earlier intervention
The agent family
Pick the workflow. We'll put the right agent on it.
Every agent is built for one job, connected to the systems that job touches, and governed by rules you set. Explore the agents by the work they take on.
Calls
Voice Agents
Answer, qualify and schedule by phone. Inbound and outbound calls handled by AI, with a clean handoff to your team when a person is needed.
Explore voice agentsInbox
Email & Document Agents
Triage shared inboxes, extract data from documents, and draft replies that follow your rules, so nothing waits in a queue.
Explore email & document agentsSupport
Customer Support Agents
Resolve requests across chat, email and portals with full customer context, and escalate the cases that need judgment.
Explore support agentsRevenue
Sales & CRM Agents
Follow up on leads, keep every CRM record current, and flag deals that need attention before they go quiet.
Explore sales & CRM agentsOperations
Operations Agents
Coordinate scheduling, routing and back-office tasks across office and field teams without manual hand-offs.
Explore operations agentsFinance
Finance Agents
Capture invoices, follow up on collections, and match records against your accounting system with a clear audit trail.
Explore finance agentsStart here
AI Workflow Audit
Not sure which workflow to hand to an agent first? We map your processes and systems, then rank the best candidates.
See the auditStay in control
Agent Governance
Guardrails, approvals and audit trails that keep every agent accountable, so your team stays informed and in charge.
Explore governanceWhat we build
End-to-end AI agent development, from first workflow to agent network.
Pick a single service or take the full path. Each one is scoped to a workflow your team already runs.
Purpose-built agents with their own role, memory, tools and rules. We combine LLMs, RAG and function calling so the agent works with your data and your systems, not generic answers.
Coordinated agents that plan, hand off and recover from errors across a multi-step process. We design the roles, the communication between agents, and the checkpoints where a person approves.
Chat, email and voice agents that keep context across a conversation, personalize replies from your records, and validate every response before it goes out.
Secure connections to Salesforce, NetSuite, SAP Business One, Shopify, QuickBooks, WooCommerce, Zoho, Zuper, Attio and Twenty through APIs, so records stay accurate in the systems your team trusts. See our integration services.
Performance tracking, audit trails, prompt and model updates, and regular reviews, so agents stay accurate as your data, rules and regulations change. Learn more about Agent Governance.
Inside your stack
Agents work where your data already lives.
No new platform to log in to. Agents read from and write to the systems your team already trusts, so records stay accurate and nothing ends up in a side channel.
CRM
ERP & accounting
Commerce
Field service
Example workflows
What agents actually take off your plate.
A few of the recurring workflows agents run, and the point where a person stays in the loop. Yours will be mapped to your own rules and systems.
| Workflow | Agent | What happens | Where a person steps in |
|---|---|---|---|
| After-hours calls | Voice | The agent answers, captures the details, books an available slot, and logs the call in your CRM. | Your team reviews flagged calls the next morning. |
| Inbound invoices | Email & Document | Invoices arriving by email are read, matched to the purchase order, and prepared in your accounting system. | An approver signs off above the limit you set. |
| Order questions | Support | The agent checks the order system, replies with the answer, and updates the ticket. | Refunds and complaints go straight to a person. |
| Lead follow-up | Sales & CRM | New leads are enriched, sent an approved follow-up, and moved through the right pipeline stage. | A rep takes over as soon as the lead replies. |
| Schedule changes | Operations | When a delay is detected, the agent finds affected jobs, proposes new slots, and notifies customers. | A dispatcher approves changes outside your rules. |
| Overdue balances | Finance | Reminders go out on your schedule, replies are recorded, and payment status is kept in sync. | Your finance lead handles disputed invoices. |
Under the hood
How we build reliable, production-ready AI agents.
Reliability is designed in from the start. These are the building blocks behind every agent we deliver.
| Capability | What it does | Why it matters |
|---|---|---|
| LLM selection & prompt engineering | We choose the language model that fits the task and write the instructions, examples and output formats the agent follows. | Consistent behavior and the right balance of quality, speed and cost. |
| RAG & vector database | Retrieval-augmented generation lets the agent look up your documents, policies and records before it answers. | Answers are grounded in your own data, not guesses. |
| Function calling & API integration | The agent calls approved actions in your CRM, ERP, helpdesk or calendar, such as create a ticket, update a record or send an invoice reminder. | Agents finish the work instead of only suggesting it. |
| Multi-agent orchestration | Specialist agents share tasks, pass context and follow one workflow from trigger to outcome. | Complex, multi-step processes run end to end. |
| Guardrails & hallucination control | Rules, validation checks and confidence thresholds limit what an agent can say and do. | Fewer wrong answers and no actions outside its permissions. |
| Human-in-the-loop approvals | Agents ask a person to approve actions above limits you set, and escalate anything uncertain with full context. | Your team keeps control of sensitive decisions. |
| Observability & LLMOps | Every run is logged and monitored, with dashboards, evaluation tests and alerts for drift or errors. | You can see what the agent did and improve it over time. |
Built for accountable action
Autonomy where it helps. Oversight where it matters.
Every agent works inside the boundaries you set, with a clear record of what it saw, decided, and changed.
- Your rules define every action
- Approvals stay with your team
- Every decision leaves a clear record
- Permissions follow the systems you trust
Questions
Answers before you ask.
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.