Custom AI Agents Built for Your Workflows
We design and deploy dedicated AI agents trained on your business datasets to take over manual content curation, cleaning, and reporting.
Custom Agents That Know Your Business Inside Out
Standard LLMs are generic. We build custom-tuned AI agents connected to your APIs, databases, and prompt rules, ensuring they perform tasks with high accuracy and format output exactly as required.
What We Automate
- Daily metrics agent that compiles performance parameters and posts them in Slack.
- Outreach assistant that draft-composes personalized sales outreach emails based on templates.
- Data scrubbing bot that reformats and matches records across disparate spreadsheets.
Agents That Work Inside Your Business, Not Beside It
A generic chatbot answers questions. A custom AI agent does work: it reads your knowledge base, checks live data in your systems, takes actions through APIs, and knows when to hand off to a human. We build agents grounded in your actual business data — with retrieval, guardrails, and logging — so answers are accurate and auditable, not improvised.
Agents We Commonly Deploy
- Customer support agents that resolve routine tickets end-to-end and escalate with full context.
- Internal knowledge copilots — policies, SOPs, and product docs answered instantly for your team.
- Report builders that pull from your databases and deliver written summaries on schedule.
- Onboarding and training assistants that walk new hires or new customers through your process.
Every agent ships with an evaluation suite — we test it against real historical queries before launch, and you see the accuracy numbers before it ever talks to a customer.
Need the agent on the phone, not just chat? Read our breakdown of AI voice agents for business — cost, ROI, and platform-vs-custom guidance.
FAQs
Common questions about custom ai agents.
Which AI models do you build on?
We're model-agnostic: Claude, GPT, Gemini, and open-source models depending on the task, cost profile, and data-privacy requirements. The architecture we build lets you switch models later without rebuilding.
How do you stop the agent from making things up?
Grounding and guardrails: the agent answers only from your approved data via retrieval, cites its sources internally, refuses out-of-scope questions, and escalates to a human when confidence is low. We test against real queries before launch.
Is our business data safe?
Yes — your data stays in your accounts and infrastructure wherever possible, we use API providers with no-training-on-your-data terms, and we'll sign an NDA before discovery.
What does a custom AI agent cost to run?
Beyond the build, running costs are usage-based API fees — typically tens to a few hundred dollars per month at SME scale. The blueprint includes a cost projection so there are no surprises.
Ready to stop running on manual?
Let us design a custom automation roadmap to restore operational calm in your business.