Tool-using agents
Research assistants
Applied AI
Custom AI Agents
We design constrained agent systems with clear permissions, observability, evaluation, and escalation—built around a defined job.
The business problem
Off-the-shelf assistants rarely understand a company’s systems, rules, or quality requirements.
Purpose-built agents that can reason over context, use tools, and complete bounded business tasks.
Designed outcomes
Fit to your process
Controlled system access
Measurable quality
Room to expand
What the system can do
A focused capability set, connected end to end.
The final scope is based on your policies, tools, data, and risk requirements.
Knowledge retrieval
Operations copilots
Multi-step task execution
Document workflows
Evaluation and guardrails
Internal knowledge agents
Example workflow
A visible path from request to action.
This example shows the operating logic. Your version is mapped to the actual systems and decisions in your business.
01Task assigned
02Context gathered
03Plan constrained
04Tools used
05Output verified
Control by design
Automation with a clear boundary.
The system is only as trustworthy as its permissions, approved sources, testing, and escalation behavior.
Approved context
Answers and actions are grounded in the information and rules you authorize.
Human escalation
Exceptions and sensitive cases reach the right person with useful context.
Observable performance
Logs and quality checks make it possible to inspect and improve the workflow.
Defensible permissions
Tools and data are limited to what the workflow genuinely requires.
Questions
Planning custom ai agents
The important questions are operational: what the system should do, where it should stop, and how success will be measured.
We design constrained agent systems with clear permissions, observability, evaluation, and escalation—built around a defined job. Typical applications include research assistants, operations copilots, document workflows, internal knowledge agents. We confirm suitability during discovery.
We assess supported APIs, webhooks, access permissions, data quality, and vendor constraints before committing to an integration approach. When a direct connection is not sensible, we explain the tradeoff.
We define permission boundaries, confidence or policy-based escalation, review steps, logging, and fallback behavior based on the risk of each action.
Pricing is based on workflow scope, integrations, usage, reliability needs, and ongoing support. We provide a scoped plan instead of a misleading one-size-fits-all price.
Related services
View all services Build the surrounding workflow.
Move from idea to working system
Put custom ai agents to work.
Bring us the process, the bottleneck, and the tools involved. We’ll help you turn them into a scoped automation plan.