Agentic Solutions
We build AI agents that act on your business's behalf.
Not chatbots. Not copilots. Autonomous agents embedded in your systems, governed, secure, and built for enterprise production from day one.
What Sets Us Apart
What makes our agents different
Anyone can build an agent that works on a laptop. We build agents that work in production at scale, under compliance, with governance baked in from the start.
Enterprise-grade by design
These are not desktop tools promoted to production. Our agents operate with governed access controls, shared knowledge bases that accumulate institutional intelligence, role-based permissions, and complete audit trails from the first deployment.
Security by design
Security is an architectural requirement, not a review step after build. Access controls, data handling, compliance requirements, and threat models are defined during architecture phase, before any code is written.
Guardrails that match the stakes
An agent scheduling lab instruments has different risk tolerances than one processing financial transactions. We define autonomy boundaries, trust levels, and escalation paths specific to each agent's domain, then test and enforce them rigorously.
Production observability
Full visibility into what agents decide, which tools they call, and when they escalate. Structured logs, health dashboards, and audit trails give operators clear answers to what happened and why, not just whether a run completed.
Instrumentation from day one
Every agent ships with traces, metrics, and eval hooks on prompts, retrievals, and tool invocations. You can measure latency, drift, failure modes, and cost per workflow before issues reach end users or compliance reviewers.
Version-controlled agent assets
Prompts, configs, eval datasets, and agent definitions live in version control with review gates. Roll back a bad prompt change as easily as a bad code deploy, with full traceability from production behavior to the exact configuration that caused it.
Our Approach
Not every use case belongs to an agent.
The biggest risk in the agentic AI market isn't moving too slow. It's moving fast in the wrong direction. Deploying an agent without the right research, guardrails, and technical foundation doesn't accelerate your business. It creates risk at speed.
We start with the question most vendors skip: should you even build this?
Business fit first
Our Product Owner evaluates whether the use case has a genuine ROI case, clear success criteria, and the right organizational readiness. Not every workflow benefits from automation. We'll tell you when it doesn't.
Technical and security review
Our Lead Developer and Architect assess technical feasibility, integration complexity, data boundaries, access controls, and which guardrails the use case requires.
Expert judgment, not hype
Our team stays current with a landscape that changes daily: new models, new frameworks, new failure modes. That knowledge separates a good agent deployment from an expensive mistake.
Research
Research
PO, Lead Dev, and Architect review business fit, technical feasibility, and security.
POC
POC
Build a working prototype the client can interact with, not a deck or demo.
Validate
Validate & Tune
Client reviews. Business and technical validation before any enterprise build begins.
Build
Build
Enterprise-grade implementation with full governance layer.
Test
Test
Eval frameworks, behavioral testing, red teaming, and release confidence gates.
Deploy
Deploy
Governed rollout with role-based access, audit trails, and monitoring.
Maintain
Maintain
Ongoing monitoring, agent performance tracking, and continuous improvement.
Agent Examples
Agents in the field
Production-grade agents we have built, deployed, or have available to deploy. Each one starts with the same question: should we build this, and what does it take to do it right?
Lab Workflow Orchestration Agent
Automates compound scheduling, instrument coordination, and data routing across Hamilton liquid handlers, LIMS platforms, and lab execution systems.
- Eliminates manual scheduling bottlenecks across instrument queues
- Connects instruments across disparate systems without custom point-to-point integrations
- Full audit trail for regulatory compliance and GxP traceability
Quality Control Vision Agent
Computer vision monitors production lines in real-time, detects defects at line speed, and triggers corrective actions before defective units advance.
- Sub-second defect detection at full production line speed
- Automated escalation with root cause classification, not just alerts
- Feeds MES with structured quality data for process improvement loops
Delivery Intelligence Agent
Monitors active software engagements continuously. Ingests GitHub commits, Jira state, CI/CD signals, and Slack communications to surface blockers with root cause diagnosis.
- True progress visibility, not standup summaries or self-reported status
- Role-specific insights routed to engineers, PMs, and executives separately
- Pattern-matching against 35 years of delivery history to flag known risk signatures
Regulatory Compliance Agent
Monitors documents, code commits, and process logs continuously against GxP, FDA, and 21 CFR Part 11 requirements.
- Always-on compliance coverage versus periodic, expensive manual audits
- Auto-generated audit-ready documentation aligned to regulatory standards
- Integrates into existing QMS without ripping out established processes
Workflow Repatriation Agent
Replaces expensive third-party SaaS workflows with custom agents that run on your infrastructure and keep your data under your control.
- Proprietary data stays in your infrastructure, not a vendor's data lake
- Business logic you own, configure, and audit, not locked in a vendor contract
- Cost per transaction decreases as volume scales, unlike per-seat SaaS
Legacy Modernization Agent
Analyzes existing codebases, scores technical debt by module, and generates a prioritized modernization roadmap with an AI-readiness assessment.
- Automated technical debt scoring across the full codebase, not sampled analysis
- AI-readiness gap analysis per module with clear integration prerequisites
- Phased roadmap: targeted modernization, not a big-bang rewrite that stalls delivery
Industries
Industries where our agents run
Our agents operate across regulated, complex, and high-stakes environments. The common thread: workflows where precision, auditability, and continuity matter.
Biotech & Life Sciences
Lab automation, instrument orchestration, regulatory traceability, data pipeline management.
Pharma & Clinical
GxP compliance monitoring, clinical data agents, audit trail automation, FDA submission support.
Manufacturing
Quality control vision, production line monitoring, MES integration, defect escalation.
Financial Services
Workflow repatriation, compliance agents, transaction monitoring, risk pattern detection.
Healthcare
Clinical workflow automation, prior auth agents, patient data orchestration, EHR integration.
Enterprise Operations
Delivery intelligence, software delivery monitoring, IT operations, process automation.
SaaS & Technology
Product delivery acceleration, AI feature development, technical debt reduction, platform modernization.
Ready to deploy your first agent?
We start with a discovery session: map your highest-value workflows, assess agent fit, and show you what a working POC looks like in your environment.