How do you keep agents from making mistakes?

Permissions, validation, approval steps and activity records can reduce risk, but cannot eliminate mistakes. Agree the actions that need human review and test representative failures.

Can agents work with the tools we already use?

Feasibility depends on the available APIs, permissions, platform limits and the actions you want to allow. These are reviewed before confirming an integration.

Where should a business start with AI agents?

With one well-defined, repetitive task that has clear success criteria — like ticket triage or lead research. Prove reliability there before expanding scope.

AI Agent Development for Business Workflows

Build an assistant that can use approved tools to complete a defined task. We develop AI agents around clear permissions, review points, and failure handling so you can decide what needs human approval.

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What the project can include

Tool-Using Agents

Agents with typed, constrained access to your real APIs — search, create, update, and act with clear boundaries.

Workflow Agents

Multi-step processes handled end to end: gather, decide, act, and report across your systems.

Support & Sales Agents

Agents that triage tickets, qualify leads, draft replies, and route work to the right person.

Agent Integrations

Connections to CRMs, email, sheets, databases, and internal APIs — the tools your agents work with.

Human-in-the-Loop

Approval gates and escalation paths so people stay in control of consequential actions.

Observability

Activity records can capture tool calls, results and failures for review. The logging scope is agreed for the project.

Possible applications

Examples of where this service could fit. The final scope depends on your process, information and existing tools.

Lead qualification that researches, scores, and updates your CRM
Support triage that categorizes tickets and drafts responses
Document workflows that extract, verify, and file information
Scheduled research, reconciliation, and reporting tasks
Operational checklists carried out across multiple tools

Delivery approach, process and technologies

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Our approach

Right-sized autonomy

Agents get only as much independence as the task justifies. Consequential actions go through approval gates by default.

Grounded tools, not free rein

Agents act through typed tool interfaces to your actual APIs — never unconstrained access to your systems.

Transparent by default

Agree which tool calls, results and failures need activity records, and how those records should be reviewed and retained.

Project stages

Task Mapping
We define the job, the tools involved, and where humans must stay in the loop.
Tool Design
Safe, typed interfaces to your APIs and data that the agent can use.
Build & Evaluate
The agent is built and tested against real scenarios before touching production.
Supervised Rollout
Launch with approvals on, then expand autonomy as reliability is proven.

Technology options

Selected around your requirements and existing systems.

OpenAI
Anthropic Claude
LangChain
n8n
Python
FastAPI
REST APIs
PostgreSQL
AWS

Common questions

Practical details to consider when planning this service for your business.

A chatbot answers questions in a conversation. An agent takes actions: it can plan multiple steps, call tools and APIs, and complete a task — like qualifying a lead and updating your CRM — not just talk about it.

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Have a task an agent could own?

Describe the repetitive work eating your team's time. We'll tell you honestly whether an agent fits — and what it would take to build one.

Discuss your requirements