Custom AI agent development

An AI agent built by Invogue Solutions is software that uses a large language model to plan and complete multi-step tasks such as reading emails, updating your CRM, researching prospects, drafting documents and scheduling, with human approval where it matters. Agents work inside the tools you already use rather than replacing them.

Who this is for

Startups, SMBs and agencies in the USA and UK where a small team handles a large volume of repeatable knowledge work: sales operations, customer support, back-office admin, content operations, recruitment and reporting.

Who this is for

Agent design: goals, tools the agent may use, boundaries and approval points

Integrations with email, CRM, calendar, project tools, spreadsheets, databases and internal APIs

Multi-step reasoning with memory, retries and fallbacks

Human-in-the-loop approval for sensitive actions (sending, paying, deleting)

Full audit log of every action the agent takes

Monitoring, cost controls and alerts

Iteration based on real usage in the first 30 days

From first call to launch in four steps

AI opportunity audit (free).

We map where your team spends repetitive hours and estimate the time and cost you’d recover.

Pilot (2–4 weeks, fixed price).

One workflow, your real data, a measurable outcome before you commit further.

Production build.

Security, monitoring, logging, human hand-off and integration with your existing systems.

Ongoing improvement.

Monthly tuning as your data, prompts and business rules change.

Technology we use

Pricing

Single-workflow agent pilots start at [$X]. Production agents with several integrations range from [$X] to [$Y]. Hourly at $45. See all engagement models and pricing.

Proof

[Client type, industry]: [e.g. ‘Lead research agent saved the sales team 15 hours a week.’]

Frequently asked questions

What is the difference between an AI agent and a chatbot?

A chatbot converses and answers questions. An agent takes actions: it can read, decide, and do things across your systems, such as updating records or sending follow-ups, with approval steps you define.

What tasks can an AI agent handle for a small business?

Common examples: qualifying and researching inbound leads, drafting replies to routine emails, updating CRM records after calls, compiling weekly reports, triaging support tickets, monitoring competitors and preparing proposals.

How do you stop an agent from doing something wrong?

We define exactly which tools the agent can use, add approval gates for any irreversible action, set confidence thresholds, and log everything so you can review and roll back.

How much does an AI agent cost?

Pilots start at [$X]; production agents range from [$X] to [$Y] depending on integrations. Monthly running costs (API usage plus monitoring) are estimated up front.

Which models do you use?

OpenAI GPT, Anthropic Claude and Google Gemini depending on the task, cost and data requirements. We can also run open-source models on your own infrastructure.

Custom AI agent development

Who this is for

Who this is for