Custom AI Agents, Built and Run Around Your Workflows
When off-the-shelf tools stop short, we design AI agents that complete multi-step work across your systems — within limits you set, with people approving what matters, and with results measured against targets agreed up front.
What is a custom AI agent?
A custom AI agent is an AI system that completes a multi-step task on its own within limits you set — for example, reading an inbound request, checking several systems, deciding the next step, taking action and reporting back — with a person approving anything important.
Example agents
Tenant application checker
Checks application packs for missing documents and inconsistencies, then prepares a file for a leasing manager to decide.
Tender and RFP intake
Reads tender documents, extracts requirements and deadlines, and drafts a bid/no-bid brief.
Month-end close assistant
Gathers reconciliations, flags anomalies and drafts the close checklist status for the finance lead.
Vendor onboarding
Collects documents, checks them against your rules and sets the vendor up in finance systems after approval.
Multi-site operations agent
Compiles daily reports across locations, spots exceptions and alerts managers.
How we build
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Step 1
Feasibility (2 weeks)
Data, systems, risks and a go/no-go.
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Step 2
Prototype on real data
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Step 3
Guardrails and evaluation
Test sets, adversarial testing, approval steps.
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Step 4
Production
Monitoring, cost controls, audit logs.
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Step 5
Improve monthly
When not to build an agent
If a simple automation or an off-the-shelf tool will do, we’ll say so. Gartner expects more than 40% of agentic AI projects to be cancelled by the end of 2027 because of cost, unclear value or weak risk controls — our feasibility step exists to avoid that.
Pricing
Custom AI Agents
from $7,500
Plus from $750/month for hosting, monitoring and improvement.
Questions
How much does a custom AI agent cost?
Most start between $7,500 and $25,000 to build, plus a monthly fee for hosting, monitoring and improvements. The feasibility step gives you a fixed quote before you commit.
How long does it take?
Typically 6–10 weeks from feasibility to production for a first agent, with a working prototype on your data in the first month.
Which AI models do you use?
We’re model-agnostic: we choose between providers such as OpenAI, Anthropic, Google and open-source models for each task, balancing accuracy, cost and where data is processed.
Who owns the code and prompts?
You do, under our standard terms. We document the agent and can hand it over to your team.
Related: AI Workflow Automation · AI Knowledge Assistants · Trust Center