Production-ready AI agents for regulated workflows.

We build and monitor autonomous agents with evaluation harnesses, compliance guardrails, and audit trails from day one.

Discuss a ProjectBook a Free 20-min Workflow Audit
SOC 2 readyHIPAA-compliant infrastructureISO 27001 alignedZero-retention LLM policies
Shellexa
shellexa / workflow-eval
Running
Mapping workflow decision tree...
Checking for undefined edge cases...
Validating against governance schema...
⚠ 2 unhandled branches detected — escalation required
Guardrails enforced
cycle 01

Our Architecture & Approach

We engineer custom vertical agents.
And the infrastructure to control them.

In regulated environments, the hardest challenge isn't getting an AI to answer a question; it's guaranteeing that answer won't trigger a compliance violation, break a downstream system, or require a human to fix it. We build autonomous agents from the ground up, wrapped in the safety nets required to prevent those failures.

No guessing

Strict rule schemas, explicit failure paths, and hard-coded workflow boundaries. We do not allow models to be creative.

Full visibility

Live evaluation harnesses catch hallucinated data, detect policy drift, and track every API call in real-time.

Human fallback

Clear escalation triggers route edge cases instantly to human experts before a mistake hits production.

Audit trail

Infrastructure that logs every token, reference, and reasoning step for strict regulatory compliance.

SOC 2 readyHIPAA-compliant infrastructureISO 27001 alignedZero-retention LLM policies

Vertical Agents

Agents we engineer for regulated workflows.

We do not sell off-the-shelf software. We act as your specialized engineering partner, custom-building deterministic AI agents tailored to your exact operational requirements. Here is what we build:

Customer Operations

Resolve 60–80% of complex support tickets automatically. Agents route, resolve, and escalate directly within your internal APIs.

Autonomous resolution

End-to-end L1/L2 ticket resolution with context retrieval, action execution, and policy-aware escalation.

Retention signaling

Behavioral drift detection across usage telemetry to trigger intervention workflows before churn.

shellexa / workflow-eval
Support Ticket Intake
Ingesting
Source Request
Ticket_#8492_Refund_Request.json
Priority
High
Sentiment
Frustrated
Retrieving customer history...
12 past tickets found

Healthcare Operations

Automate manual claims and clinical documentation with zero HIPAA violations. Deterministic validation guarantees compliant outputs.

Claims verification

Extract structured data from intake, cross-reference eligibility, and flag exceptions; with full audit trails.

Clinical documentation

Convert unstructured provider notes into coded, billable formats in real time with schema enforcement.

shellexa / workflow-eval
EHR Intake
Ingesting
Source Document
Clinical_Encounter_Notes_v2.pdf
HIPAA Status
Secured
Format
Unstructured
De-identifying PII/PHI...
14 entities redacted

Legal & Compliance

Cut contract review time by 60%+ with hard hallucination controls. High-stakes document analysis with guaranteed provenance.

Contract risk extraction

Identify non-standard clauses, liability exposures, and renewal terms across multi-hundred-page agreements.

Precedent synthesis

Citation-grounded legal research with source verification and confidence-scored output generation.

shellexa / workflow-eval
Data Intake
Ingesting
Source Document
Master_Service_Agreement_v4.pdf
Pages
84
Complexity
High
Parsing unstructured text...
54,250 tokens

Impact in Production

What we've built.

Two recent examples of regulated workflows we turned from manual, high-risk operations into auditable systems that scale.

Legal SaaS

Clause extraction without analyst sprawl.

Problem

Needed to extract risk clauses across hundreds of contracts without adding headcount.

Outcome

Cut contract review time by 64%. Eliminated manual tagging entirely.

Read the case study →
HealthTech

Claims intake normalized across payer chaos.

Problem

Losing 6–8 hours weekly to manual claims verification across multiple payer formats.

Outcome

100% of intake now processed autonomously with HIPAA-compliant audit trails.

Read the case study →

Who This Is For

Built for some teams. Not all of them.

For

  • Regulated workflows where errors are expensive
  • Teams replacing manual, repeatable human processes
  • Companies that need audit trails and compliance guarantees
  • Organisations being asked by clients or regulators to show their AI is reliable

Not For

  • Chatbots and FAQ assistants
  • Generic AI experiments with no production requirement
  • Low-stakes automation with no compliance needs
  • Teams wanting off-the-shelf tools they can self-serve

A fair question

Why not just use LangChain?

LangChain, LangGraph, and LangSmith are excellent tools. We use them. The question isn't whether to use them — it's whether you have the team, time, and infrastructure to make them production-ready in a regulated environment.

What building it yourself actually costs

  • 3–6 months of engineering time before it's production-stable
  • Eval infrastructure that takes as long to build as the agent itself
  • Compliance logging is an architecture decision, not a feature flag
  • Model updates silently break behavior — someone has to catch that
  • Your engineers own it, maintain it, and debug it forever

What working with Shellexa gives you

  • Agents shipped with eval harnesses and compliance rails from day one
  • We've already solved the production failure modes you haven't hit yet
  • Post-deployment monitoring and maintenance included
  • Your team stays focused on your core product
  • If something breaks at 2am, it's our problem, not yours

We're not a replacement for your engineering team. We're the specialists you bring in when the stakes are too high to figure it out as you go.

Foundation

Our roots are in software quality.
We treat AI as a testing problem.

When an LLM is wrong, it doesn't throw an error—it confidently lies. We embed decades of software testing expertise directly into our AI systems, ensuring models behave with absolute certainty instead of probability.

AI fails silently. We don't let it.

When an LLM is wrong, it doesn't throw an error—it confidently lies. We wrap every agent in hard-coded boundaries to prevent silent failures.

Prompts don't fix hallucination. Testing does.

You cannot solve non-deterministic behavior with better instructions. It is fundamentally a software testing problem.

We treat AI like production infrastructure.

QA is not a final check; it is the core infrastructure. We embed decades of testing expertise directly into our AI systems.

Standalone Services

AI System Validation & Quality Engineering.

Before we built agents, we spent years making sure enterprise software didn't fail. We bring that same rigour to every AI system we touch.

Eliminate false positives.

We replace brittle scripts with resilient, CI/CD-integrated testing frameworks designed to run continuously.

AI Evaluation Harnesses

We build custom eval infrastructure to catch prompt drift, hallucinated outputs, and edge-case failures before they reach your users.

Prevent production regressions.

We map your application and implement strict test boundaries so new deployments never break existing workflows.

Benchmark extreme load limits.

We simulate high-concurrency environments to identify memory leaks, latency bottlenecks, and scalability thresholds.

Hunt unmapped edge cases.

Our engineers systematically break systems to find security flaws and user journey breakdowns automation misses.

Build a culture of quality.

We embed with engineering leadership to define test strategies, select tooling, and structure zero-defect releases.

Engagement

How we partner with organizations.

4 weeks

Assessment

Start with a 4-week assessment. We map the workflow, prove feasibility, and deploy a secure proof-of-concept. No long-term commitment required.

Fixed project fee. Most assessments complete within 4 weeks.

Ongoing

Deployment

We handle the build, continuous evaluation, and production monitoring. You get a reliable agent integrated into your exact environment.

Retainer-based. Engagements typically begin at $1,500/month.

What's included

  • Agent build and deployment
  • Evaluation harness and hallucination monitoring
  • Integration with your existing APIs and systems
  • 30-day post-launch monitoring and support
  • Monthly performance review

Strategic

Infrastructure Partnership

Long-term co-development for teams building AI platforms. We provide dedicated engineering capacity and progressive autonomy transfer.

Custom pricing based on dedicated capacity and roadmap scope.

If your AI can't be trusted in production, don't deploy it. Fix it.

We respond to every project inquiry within 24 hours. No sales pipeline, no qualification call — just a direct conversation with the engineers who'll do the work.

Discuss a projectBook a Free 20-min Workflow Audit

The Team

Built by engineers who've seen AI fail in production.

Shubham Banerjee

Shubham Banerjee

Founder & CEO

Background in browser automation, API integrations, and enterprise QA infrastructure.

Sneha Banerjee

Sneha Banerjee

Co-founder

Focused on client delivery, operations, and regulated industry workflows.