Detect requirements, commitments and decisions that the governing policy does not permit in the current workflow.
Starting with payer denial letters and prior authorization communications.
Illustrative Examples
How language exceeds policy authority
Why Now
Enterprises are layering LLMs, copilots, and agent workflows over legacy systems to summarize, explain, route, and draft. This adds a new “Language Layer” failure surface area that traditional QA wasn’t built for: unsupported claims, wrong workflow paths, unsafe handoffs, and drift as SOPs/tools/models change.
What Goes Wrong in Production
Confident language unsupported by policy or workflow state
Missed SOP steps, exceptions, or escalation triggers
Tool/API calls with incorrect arguments or stale assumptions
Quiet regressions as SOPs, tools, and models change
Our Method
What LangInMotion Enforces at Runtime
SOP Compliance
Are all language claims permitted by the SOP and valid for the current workflow state?
Policy-backed Claims
Is each claim explicitly supported by approved SOP clauses and valid in the current workflow state?
Safe Escalation & Handoffs
When evidence is incomplete or workflow state prohibits commitment, does the system escalate rather than assert?
Our Offerings
Engagement Models
1
AI Readiness & Risk Scan
Baseline risk and score real outputs for groundedness, SOP compliance, and safe handoffs.
2
Runtime Enforcement Pilot
Insert runtime enforcement into one SOP-driven workflow; establish validators, release thresholds, and escalation logic.
3
Continuous Drift Monitoring
Regression runs on SOP/tool/model changes + monthly/quarterly governance reporting.
Industries
LangInMotion is designed for SOP-driven operations across regulated and high-stakes verticals.
Insurance
Insurance combines high-volume language with regulated determinations.
Claims explanations, underwriting communications, and fraud notifications are governed by SOPs and jurisdiction-specific rules.
LangInMotion enforces policy at runtime — ensuring AI-generated language reflects the correct workflow state, cites applicable criteria, and does not convert risk assessment into unauthorized decision authority.
Healthcare
Healthcare workflows are governed by strict SOPs and workflow states. Coverage determinations, prior authorizations, denial explanations, and appeal communications must reflect explicit policy criteria and actual review status. LangInMotion enforces enterprise policy at runtime — verifying that AI-generated language aligns with the correct workflow state, cites applicable coverage rules, and does not escalate provisional review into binding denial.
Financial Services
In financial services, language implies process — and process is regulated.
Account actions, risk assessments, eligibility decisions, and compliance disclosures must reflect actual review steps and approved authority.
LangInMotion inserts runtime enforcement between AI generation and customer communication — preventing premature closures, implied decisions, and commitments unsupported by workflow state.
Enterprise Support & Operations
Enterprise support workflows often involve implied authority and escalation triggers.
Customer support, IT service management, HR communications, and back-office operations must reflect role boundaries and actual approval status.
LangInMotion verifies that AI-generated language does not assert determinations, escalate commitments, or imply authority beyond the current workflow state — preserving defensible operational boundaries at scale.
About Us
Leadership
Balaji Narayana
Founder
Founder of LangInMotion.ai, building a runtime control layer for Enterprise AI. Former CTO and Head of Product & Innovation in healthcare technology, leading development of full-stack payer infrastructure across regulated workflows.
30+ years designing and delivering enterprise systems in healthcare, insurance, and financial services.
Previously led product and technology at CarynHealth, scaling the platform from inception to $40M in revenue across healthcare payer operations.
Deshik Iyengar
Co-founder
Co-founder of LangInMotion.ai, leading linguistic systems and semantic constraint design.
Bachelors in Linguistics, pursuing Masters in Applied Linguistics from Georgetown.
Focuses on formalizing enterprise SOPs into executable semantic constraints and workflow-state validation logic.