EthosIntelligenz.ai transforms how enterprises operate — turning complex business workflows into autonomous, governed AI agents across every function and every industry.
Our horizontal agent suite works across industries — purpose-built for the most common enterprise bottlenecks, deployable in weeks not months.
Onboarding automation, policy Q&A, benefits navigation, leave management, and performance review orchestration. Agents that handle the repetitive so people can handle the human.
AP/AR processing, bank reconciliation, financial reporting, anomaly detection, and audit preparation — with full compliance logging and explainable outputs.
CRM enrichment, lead scoring, pipeline analysis, proposal generation, and competitive intelligence synthesis. Amplify your revenue team's reach and precision.
Multi-agent workflows for procurement, logistics, supply chain, and service delivery. Connect disparate systems into a single intelligent orchestration layer.
Continuous regulatory monitoring, policy adherence checking, risk signal detection, and audit-ready reporting — AI that watches so your team can act.
We start with your specific problem — not a template. Our architects design bespoke agentic solutions tailored to your data, systems, and governance requirements.
Structured discovery workshops to map your processes, pain points, and AI readiness across people, data, and systems.
Architect the agentic solution — defining agents, tools, data flows, orchestration patterns, and governance guardrails.
Build, test, and launch with rigorous QA, security review, bias assessment, and Responsible AI validation.
Ongoing monitoring, model drift detection, performance dashboards, retraining schedules, and continuous improvement.
Beyond horizontal solutions, we bring domain-specific AI knowledge built from decades of real enterprise delivery across the sectors that matter most.
AI agents that ingest application data, pull credit signals, cross-reference policy rules, and produce explainable underwriting decisions — reducing cycle time from days to minutes while maintaining full regulatory traceability.
Real-time agentic monitoring of transaction streams with adaptive pattern recognition, automated SAR drafting, and risk-scored alert queues — reducing false positives and analyst fatigue simultaneously.
End-to-end claims triage, document extraction, coverage matching, and settlement recommendation agents for P&C and health insurers — integrated with core policy management systems.
Automated aggregation of risk data, reconciliation against regulatory templates (Basel III, DFAST, CECL), and board-ready narrative generation — with full audit trails and change management.
Ambient AI that listens to physician-patient interactions and generates structured clinical notes, ICD-10 codes, and care plan updates in real time — freeing clinicians from documentation burden.
Automated prior auth submission, payer-specific rule matching, clinical criteria mapping, and follow-up orchestration — cutting days-long approval cycles to hours.
Multi-source patient data synthesis to identify care gaps, stratify risk cohorts, and trigger personalized outreach campaigns — enabling proactive rather than reactive care management.
Agentic claim scrubbing, denial prediction, remit posting, and secondary billing orchestration — maximizing net patient revenue and reducing days in A/R.
AI agents that synthesize POS data, external signals (weather, events, trends), and supplier lead times to produce granular demand forecasts and automated replenishment recommendations at SKU-location level.
Real-time product recommendation, dynamic pricing, and offer orchestration agents that adapt to individual shopper behavior, inventory position, and margin targets across digital and in-store channels.
Automated RFP generation, supplier scoring, contract analysis, and spend analytics agents — giving procurement teams AI-assisted negotiation intelligence and supply chain risk visibility.
Omnichannel AI agents for order status, returns, exchanges, and escalation — trained on your brand voice, policy knowledge base, and customer history. Seamless handoff to human agents when needed.
Conversational AI agents for permit applications, benefit enrollment, service inquiries, and status tracking — available 24/7 across web, mobile, and voice, in multiple languages, with full accessibility compliance.
AI-assisted acquisition planning, solicitation document analysis, vendor proposal evaluation, and award recommendation — accelerating federal procurement while ensuring FAR compliance.
End-to-end agentic support for grant application review, eligibility determination, compliance monitoring, and performance reporting across federal and state grant programs.
Continuous monitoring of network telemetry, OSINT feeds, and vulnerability databases to surface prioritized threat intelligence and generate automated incident response playbooks.
AI agents for predictive fault detection, root cause analysis, and automated remediation recommendations across complex multi-vendor network environments — reducing MTTR and NOC escalations.
Real-time propensity modeling, personalized retention offer orchestration, and proactive outreach agents that identify at-risk subscribers before they churn — integrated with CRM and billing systems.
Automated reconciliation of usage records, mediation data, and billing outputs to surface revenue leakage, billing errors, and fraud patterns across postpaid and prepaid portfolios.
AI-powered dispatch, technician routing, parts forecasting, and first-time-fix prediction agents that maximize field service productivity and customer satisfaction across large technician workforces.
IoT sensor data fusion, failure mode modeling, and maintenance scheduling agents that shift operations from reactive to predictive — reducing unplanned downtime and extending asset life.
Computer vision and sensor fusion agents for real-time defect detection, SPC monitoring, and root cause analysis on production lines — with automated non-conformance reporting.
Multi-tier supplier monitoring, lead time forecasting, disruption simulation, and alternative sourcing recommendation agents that give manufacturers real-time supply chain intelligence.
AI agents that analyze energy consumption patterns, optimize HVAC and production scheduling for efficiency, track Scope 1–3 emissions, and generate sustainability reporting aligned to GRI and CDP standards.
Composite case studies drawn from our team's combined delivery experience across Fortune 500 enterprises, federal agencies, and high-growth businesses. Client details anonymized.
Challenge: A mid-size bank was processing 400+ commercial loan applications monthly with a 12-day average underwriting cycle, creating competitive disadvantage and borrower attrition.
Multi-agent system integrated with core banking, credit bureau APIs, and internal risk models. Deployed in 14 weeks.
Challenge: A 12-hospital health system was losing physicians to burnout, with documentation consuming 40% of clinical time. EHR adoption was low due to interface complexity.
Ambient AI + LLM pipeline integrated with Epic EHR via FHIR APIs, with Responsible AI bias review across patient demographics.
Challenge: A federal agency was averaging 18 months per major acquisition with significant analyst time spent on market research, solicitation drafting, and proposal evaluation.
RAG-powered agent trained on FAR/DFARS, past performance databases, and agency-specific acquisition policy. FedRAMP-aligned deployment.
Challenge: A 600-store retailer was experiencing 14% stockout rates on high-velocity SKUs and $85M in excess seasonal inventory annually due to lag in demand signal processing.
Multi-agent system fusing POS, weather, social, and supplier data with automated replenishment workflows in SAP.
Challenge: A major telecom was losing 2.8% of its postpaid base monthly to churn, with retention efforts reactive and poorly targeted — resulting in high offer costs and low win-back rates.
Real-time propensity engine with agent-driven outreach orchestration integrated with CRM, billing, and contact center platforms.
Challenge: A global manufacturer was experiencing $22M annually in unplanned downtime across 8 plants, with maintenance teams reactive to failures rather than predictive.
IoT data fusion, LSTM failure prediction models, and maintenance scheduling agents integrated with SAP PM and MES systems.
We've designed our engagement models around what actually works for enterprise AI adoption — from targeted quick wins to long-term transformation partnerships.
A defined scope, timeline, and outcome. Ideal for organizations with a clear problem and a desire to see measurable results quickly without open-ended commitments.
Ongoing AI capability across your organization. A dedicated EI team embedded with yours — continuously building, improving, and governing your AI estate.
Not ready for a full AI team but need senior strategic AI leadership? Our fractional CAO/CTO service provides board-level AI guidance at a fraction of the cost.
We build together. Our architects and engineers embed with your team to transfer knowledge, build capabilities, and leave you with an AI-ready internal team.
Every engagement includes bias assessment, explainability documentation, and governance framework — not as an add-on.
No juniors without seniors. Every engagement has a named senior architect accountable for quality and outcomes.
No surprise fees. We scope clearly, price fairly, and communicate changes before they happen.
We design and deploy custom Generative AI solutions grounded in your enterprise data — secure, hallucination-resistant, and production-ready. Whether it's an internal knowledge assistant, a client-facing GenAI product, or a multi-model orchestration pipeline, we architect it with enterprise rigor.
Our GenAI practice is model-agnostic. We select the right foundation models for your use case — balancing capability, cost, latency, and your data residency requirements.
Ground LLM responses in your proprietary knowledge — eliminating hallucinations and keeping AI answers within your approved data boundaries, with source citations.
Adapt foundation models to your domain language, tone, and use cases with structured fine-tuning on curated enterprise datasets.
Secure, role-aware internal copilots for HR, legal, finance, IT, and customer service — deployed on your infrastructure with SSO and audit logging.
Route queries intelligently across GPT-4o, Claude, Gemini, Llama, and others based on cost, latency, and capability requirements.
Extract, classify, and reason over contracts, reports, and clinical notes at scale — with precision, auditability, and structured output.
Systematic prompt design, adversarial testing, and automated evaluation frameworks ensuring consistent, reliable GenAI output quality.
Our founding team brings together decades of hands-on delivery experience across Fortune 100 corporations, federal agencies, and global consulting — spanning AI architecture, enterprise systems, revenue operations, and delivery leadership.
We're not theorists. We've sat in the rooms where the hard decisions get made — and we've built the systems that made those decisions easier. That practitioner mindset shapes every engagement we run.
Direct delivery inside F100 enterprises
US Government & agency AI programs
Countries of global sales & delivery
Deep enterprise technology delivery
Our team has operated inside IBM, Accenture, KPMG, Verizon, Citigroup, and Ford — among others. We know what enterprise AI adoption really takes.
End-to-end AI platform design, data lakehouse architecture, MLOps pipelines, and cloud-native AI infrastructure across AWS, Azure, and GCP.
Business capability mapping, value stream alignment, TOGAF-certified architecture governance, and AI-driven target operating model design for enterprise transformation programs.
EMEA and global market development, channel partnership design, B2B enterprise sales, and go-to-market execution with deep networks across technology and consulting ecosystems.
End-to-end delivery management for complex AI programs, client relationship ownership, cross-functional team leadership, and enterprise technology risk management.
EthosIntelligenz.ai is growing fast. We work with the best independent AI practitioners, data engineers, architects, and domain specialists — on a flexible, project-based basis that works around your life.
No bureaucracy. No time-sheet theater. Just interesting problems, serious clients, and fair compensation.
Project-based work that fits your schedule. You choose the engagements that match your interests and availability.
Senior market rates with no middleman. We pay well because we want the best.
Serious problems at serious companies — not toy demos. Your work ships and creates measurable impact.
Join a network of sharp AI practitioners. Access peer learning, shared resources, and EI's delivery methodology.
Build and deploy production LLM pipelines, RAG systems, agentic workflows, and ML models for Fortune 500 clients. Strong Python, LangChain / LlamaIndex, and cloud ML platform experience required.
Design and implement data pipelines, lakehouse architectures, and real-time streaming platforms that power AI applications. Experience with Spark, dbt, Databricks, or Snowflake preferred.
Design end-to-end AI solution architectures, integration patterns, and target operating models for enterprise transformation programs. TOGAF or equivalent preferred.
Bring your domain expertise to AI projects in your sector. We need practitioners who understand the business context as deeply as the technology — compliance, clinical workflows, acquisition policy.
Lead bias assessments, explainability reviews, AI risk frameworks, and regulatory compliance advisory for enterprise AI deployments. EU AI Act / NIST RMF expertise a strong plus.
Manage delivery of complex AI transformation programs across multiple stakeholders, vendors, and workstreams. PMP or Agile certification and prior AI/data project experience required.
We review every application. If there's a fit, we'll reach out within 5 business days.
Responsible AI isn't a checkbox — it's an architecture decision. We embed fairness, explainability, privacy, and accountability into every solution we build, from the first design session to ongoing production governance.
Structured risk scoring across harm, bias, opacity, and regulatory exposure — delivered as actionable risk registers with ownership and remediation timelines.
Design of AI review boards, model approval workflows, escalation paths, and documentation standards aligned to your organizational risk appetite.
Independent audits of existing AI models for bias, drift, adversarial vulnerability, and compliance gaps — with prioritized remediation roadmaps.
Risk classification, conformity assessment planning, technical documentation, and post-market monitoring design for organizations operating in the EU.
Operationalize the NIST AI Risk Management Framework across your AI portfolio — GOVERN, MAP, MEASURE, and MANAGE functions.
Tailored workshops for data science teams, product managers, and executive leadership on ethical AI principles, governance, and practical implementation.
A practical breakdown of compliance timelines, high-risk system classifications, and what your AI governance stack needs to look like now.
How algorithmic bias compounds in enterprise systems — and the structural interventions that actually work at scale, from pre-training to production monitoring.
As agents make decisions and take real-world actions, traditional AI governance frameworks break down. Here's how to build guardrails for the agentic era.
Start with a no-cost, no-obligation discovery conversation. In 60 minutes, we'll identify your highest-value AI opportunities and give you a clear picture of what's possible — and what it takes to get there.