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Enterprise AI that ships to production
Structured frameworks — one that runs the healthcare
revenue cycle end-to-end, one that modernizes the systems you already
have, and one that embeds AI across
the software delivery lifecycle.
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Enterprise AI Solutions That Deliver
Measurable Business Outcomes
From AI strategy and modernization to intelligent automation and healthcare analytics, TechKrill helps
organizations adopt, scale, and govern AI with confidence.
01
⁠AI Readiness and Legacy Modernization
Modernize legacy systems for cloud-native, AI-ready operations.
02
AI-Assisted Development
Accelerate software delivery with AI-powered engineering.
03
Agentic AI
Automate complex workflows with intelligent AI agents.
04
AI Governance
Ensure secure, responsible, and compliant AI deployment.
05
Revenue Cycle Analytics
Optimize healthcare revenue with AI-driven insights and analytics
AI Readiness - Legacy Modernization
Prepare your enterprise for AI by modernizing legacy systems, strengthening data foundations, and building a roadmap for scalable transformation.
  • AI readiness assessments and enterprise maturity evaluations
  • Legacy application modernization using AI-assisted code analysis and refactoring
  • Cloud migration, API-first architecture, and microservices transformation
  • Data readiness, governance, and AI adoption roadmap development
  • Application portfolio assessment and modernization strategy aligned with business goals
AI-Assisted Development
Embed AI across the software development lifecycle to accelerate delivery, improve quality, and enhance developer productivity.
  • AI-powered code generation, review, and optimization
  • Intelligent test automation and quality assurance
  • AI-assisted documentation and knowledge management
  • CI/CD automation with AI-driven development workflows
  • Continuous performance monitoring and optimization
Agentic AI
Build autonomous AI agents that execute complex workflows, interact with enterprise systems, and support intelligent decision-making.
  • Multi-step workflow agents leveraging Salesforce Agentforce, Amazon Bedrock Agents, and LangGraph
  • Agents for tool-calling, browser automation, and API orchestration
  • Enterprise copilots designed for business operations and customer support
  • Human-in-the-loop governance tailored for regulated environments
  • Agent monitoring, observability, and performance optimization
AI Governance
Establish trusted AI with governance frameworks that ensure security, compliance, transparency, and responsible deployment.
  • Responsible AI policies and governance frameworks
  • AI risk assessment, monitoring, and model lifecycle management
  • Compliance with GDPR, HIPAA, DPDP, and emerging AI regulations
  • Explainable AI, auditability, and model transparency
  • AI security, privacy, and enterprise access controls
Revenue Cycle Analytics
Leverage AI-powered analytics to optimize healthcare revenue performance, improve financial visibility, and support faster operational decisions.
  • Revenue cycle performance dashboards and KPI monitoring
  • Claims, denial, and reimbursement analytics
  • Predictive revenue forecasting and financial trend analysis
  • Operational insights for billing and collections optimization
  • Executive reporting with real-time business intelligence
Flagship AI Offerings
Three structured frameworks accelerate the AI journey
01
Revenue cycle management
  • ⁠End-to-end healthcare revenue cycle automation
  • Intelligent claims, billing & operational workflows
02
Legacy App Modernization using AI
  • AI-powered application modernization
  • Transform legacy systems into scalable digital platforms
03
AI-Assisted Development
  • Embed AI across the software development lifecycle
  • Accelerate delivery with automation and governance
01
FLAGSHIP OFFERING
AI-Native Revenue Cycle Management
This isn’t AI applied to billing — it’s revenue-cycle expertise, amplified by AI.
RCM coordinates the entire healthcare revenue cycle with agentic AI — verifying eligibility, capturing charges, coding, scrubbing claims, predicting denials, and drafting appeals — so staff handle only the exceptions. It is HIPAA-compliant, explainable, and auditable by design: every agent decision is defensible for payers and regulators. Delivery is outcome-priced and overseen by clinical and RCM specialists (US healthcare arm, est. 2016, $100M+ in hospital revenue impact).
Five Capability Pillars - RCM
RCM maps cleanly to the revenue-cycle lifecycle.
Each pillar is an agentic workflow with a human-in-the-loop exception path.
Front-End Intelligence
Autonomous eligibility verification, electronic prior-authorization, and registration QA — stopping errors before they enter the cycle.
Autonomous Coding
AI-assisted ICD-10 / CPT / HCC coding and charge-integrity checks that close revenue-leakage gaps.
Clean-Claim Engine
AI claim scrubbing and payer-specific edits that lift clean-claim rates above 95% before submission.
Denial Intelligence
Predictive denial prevention plus auto-drafted, policy-cited appeals — recoverable backlog tackled first.
Cash Optimization
Touchless payment posting, exception-based A/R follow-up, and real-time revenue-leakage & denial dashboards.
Six-Phase Delivery Methodology
01
Discovery & RCM Diagnostic
Baseline KPIs, denial taxonomy, leakage map; target outcomes agreed before any build.
02
Data & EHR Integration
Connect EHR + clearinghouse; secure, HIPAA-compliant data pipeline.
03
Front-End Automation
Autonomous eligibility, prior-auth, registration QA live on the pilot line.
04
Coding & Claims
Computer-assisted coding + AI scrubbing lift clean-claim rates above 95%.
05
Denial Intelligence
Denial prediction, prevention, and policy-cited appeals; recoverable backlog first.
06
Pilot to Scale
Exception-based operations, continuous monitoring, service-line expansion.
RCM Outcomes
95%+
Clean-claim rate
30–60%
Lower cost-to-collect
20–40%
Fewer days in A/R
02
FLAGSHIP OFFERING
Legacy Modernization
The 6-R framework that gives every legacy system a clear path forward— no big-bang rewrites, no production surprises.
Five Capability Pillars - RCM
A structured AI-powered approach to modernize, optimize, and future-proof
legacy applications.
Legacy assessment & scoring
Strangler-fig migration patterns
Database modernization
API-first transformation
DevOps & observability uplift
The 6-R Framework
R1
Rehost
Lifting-and-shifting non-critical peripheral services to AWS EC2 to gain immediate performance overhead.
R2
Replatform
Moving core databases to Amazon Aurora to leverage managed scaling and higher resilience.
R3
Refactor
Optimizing legacy code blocks to use cloud-native features like S3 for document storage.
R4
Rearchitect
The core effort: breaking the monolith into independent, scalable microservices.
R5
Rebuild
Rewriting the claims processing engine from scratch using AWS Lambda and Serverless patterns.
R6
Replace
Retiring proprietary legacy authentication for standard Okta-based IAM solutions.
Modernization Outcomes
70%
Reduction in infrastructure costs
0
Big-bang cutover risk
24/7
Migration monitoring & rollback
03
FLAGSHIP OFFERING
AI-Assisted Development
Embed AI across the software development lifecycle to accelerate delivery, improve quality, and enhance developer productivity.
What the pipeline embeds:
A structured AI-powered approach to modernize, optimize, and future-proof
legacy applications.
AI-powered automated code generation & review
CI/CD automation with AI-driven development
Continuous AI-assisted optimization
Intelligent test automation
AI-powered documentation
Delivery Timeline
01
Discovery & Assessment
Map business goals to AI use cases. Define feasibility, ROI, and risk.
02
Solution Architecture
Design the tech stack, data flows, and integration point
03
AI Model Development
Build, fine-tune, and validate models in an iterative sprint cadence.
04
Integration & Testing
Connect to enterprise systems with comprehensive quality gates.
05
Production Deployment
Deploy, monitor, and optimize with SLA-backed support.
Modernization Outcomes
60
Reduction in dev time
3x
Faster code review
90%+
Test coverage
Which offering is right for you?
Criteria
AI-Assisted Development
Legacy Modernization
Starting point
Greenfield or existing codebase
Legacy monolith or on-premises system
Primary goal
Accelerate new feature delivery
Reduce tech debt & operating cost
Timeline
4–16 weeks per phase
3–18 months end-to-end
Team needed
Your devs + our AI engineers
Your architects + our migration team
Risk profile
Low (iterative, reversible)
Managed (phased, parallel run)
And for healthcare providers: RCM. When the goal is to run the revenue cycle itself — eligibility through cash — RCM is the vertical product, outcome-priced and delivered on a HIPAA-compliant footing.
Not sure where to start?
Our solutions team will walk through your current stack and
recommend the right path—at no cost.
Book a Free Assessment