AI Agents
AI agents from Agnotic: we scope, build and integrate them with your systems, with compliance and security designed in. Book a scoping call.
What is an AI agent?
An AI agent is software that uses a language model to plan and complete multi-step tasks by calling your tools, APIs and data, rather than only replying to messages. Agnotic Technologies builds AI agents for startups and enterprises, with tool permissions, evaluation, human review for sensitive actions and logging designed in.
Each agent is built around your systems, connecting to the APIs, knowledge bases, and applications your team already uses, so it works reliably in production and improves outcomes as it learns.
How are our agents built?
Our agents are built on a modular architecture that separates reasoning, memory, and action layers, so each capability can be tested, monitored, and upgraded independently. Orchestration frameworks coordinate tools, retrieval, and model calls into reliable multi-step workflows.
We integrate directly with your data sources, APIs, and internal systems through secure connectors, with guardrails, evaluation, and observability built in. Every deployment is engineered for accuracy, traceability, and production-grade reliability.
Compliance-First AI Agent Development Backed by Global Standards
15-Minute Scoping Call
SOC 2
Service Organization Control 2
Security, availability and confidentiality controls designed so a SOC 2 audit of your AI systems has the evidence it needs.
ISO 27001
Information Security Management
Information security practices for how models, data and integrations are managed and monitored, in line with ISO 27001 requirements.
GDPR
General Data Protection Regulation
Lawful processing, consent, data minimization, and retention controls for personal data handled by AI agents.
HIPAA
Health Insurance Portability and Accountability Act
Privacy-first handling of protected health data when agents operate inside regulated healthcare workflows.
PCI DSS
Payment Card Industry Data Security Standard
Secure handling of cardholder data for agents that touch payment, billing, or financial workflows.
ISO 9001
Quality Management Systems
Documented, repeatable processes for building, evaluating and operating AI systems.
How do agents connect to your systems?
See how we connect agents to the systems, data and tools your team already uses.
Agents in action
View AllLera Health
How do we build agents?
A phased approach that takes your agent from scope and design through secure integration and production support.
Discovery & Design
We map your workflows, data sources, and success metrics, then design the agent's reasoning, tools, and guardrails before a line of code is written.
Core Setup & Modules
We stand up the agent runtime, memory, and retrieval layers, with least-privilege access and secure credentials as foundational modules.
Integrations
We connect the agent to your APIs, tools, and internal systems through secure, standards-based connectors, validating each against test data.
Deployment & Support
We ship with evaluation, observability, and guardrails in place, then monitor and improve the agent against measurable milestones after release.
What is the return?
Where AI agents earn their keep: less manual effort, faster cycles and more capacity for the same team.
Lower Operational Costs
Automate repetitive, high-volume tasks to cut manual effort and reduce the cost of every workflow.
Faster Cycle Times
Agents work around the clock and complete multi-step tasks in minutes instead of hours or days.
Higher Team Productivity
Free your team from routine work so they can focus on judgment, strategy, and higher-value outcomes.
Measurable Business Impact
Track accuracy, throughput, and savings with built-in evaluation and reporting from day one.
Why build agents with Agnotic?
Engineering depth, clear processes and AI experience, applied to your systems.
Reliability & Safety by Default
Guardrails, evaluation, and observability designed into every agent from sprint one, not bolted on at the end.
Deep Integration Expertise
We connect agents to your data, tools, and internal systems through secure, standards-based integrations.
Early, Working Releases
Lean, milestone-driven delivery: a working proof of concept first, then a production agent.
Dedicated AI Engineering Team
A team that owns your agent end-to-end (design, engineering, evaluation, and deployment) with one point of accountability.
Our relevant experience
Agent and AI work we have designed and built for clients.
Which frameworks guide safe AI agents?
Short facts we design agents around, each linked to its primary source.
The NIST AI Risk Management Framework is a voluntary framework that organizes AI risk work into four functions: Govern, Map, Measure and Manage.
Source: NIST AI 100-1OWASP defines excessive agency as the vulnerability that lets an LLM application take damaging actions in response to unexpected, ambiguous or manipulated model output, usually caused by excessive functionality, permissions or autonomy.
Source: OWASP GenAI Security Project, LLM06:2025The OWASP Top 10 for LLM Applications (2025) ranks prompt injection first: user prompts that alter a model's behavior or output in unintended ways.
Source: OWASP GenAI Security Project, LLM01:2025In July 2024, NIST released the Generative AI Profile (NIST AI 600-1), a companion to the AI RMF that helps organizations identify risks specific to generative AI and proposes actions to manage them.
Source: NIST AI 600-1
What do buyers ask about AI agents?
Related AI services
Build your next AI agent with us
We engineer production-grade AI agents end-to-end, from strategy and integration to guardrails and deployment. Talk to us about scoping a focused pilot.