Lumi — Enterprise AI That Ships

How We Help

We meet you where you are.
Then we move fast.

Whether you're exploring AI strategy or ready to deploy, we have a path that fits your timeline, your systems, and your team.

01 — Advisory

Advisory

Strategy to validated use cases

We run workshops, idea jams, and governance design sessions. You walk away with production-ready, audited use cases — not a slide deck.

02 — Solutions

Tailored Solutions

6–8 weeks to production

Custom-built AI agents designed around your specific bottlenecks. We connect to what you already have — no rip-and-replace.

03 — Teams

AI-Ready Teams

Embedded experts, ongoing

Dedicated pods working inside your organization. Build internal AI muscle while shipping faster with experienced hands alongside your people.

The Process

End-to-end. Eight weeks.
Clickable in 3 days.

Week 1

Discover & Decide

Map the workflow, pick the bottleneck

Week 2

Evaluate & Refine

Clickable prototype, stakeholder review

Weeks 3–5

Build & Test

Integrate, govern, stress-test

Week 6

Go Live

Deploy to real users, monitor

Weeks 7–8

Measure & Expand

Prove ROI, plan what’s next

Clickable in 3 days. Working prototype in the first sprint — iterate from there.

Testimonials

Real stories, happy clients

What impressed me most was the depth of Lumi’s agentic orchestration — multiple AI agents coordinating across complex workflows in real time.

SVP Platform Engineering

We evaluated a dozen AI platforms before choosing Lumi. The ability to deploy agentic workflows alongside our core banking systems — with zero disruption — made it a clear winner.

CIO

Lumi’s claims agents transformed our modernization roadmap. We went from a 12-day adjudication cycle to under 48 hours — with better accuracy and full audit trails on every decision.

Product Owner — Claims

The sidecar deployment model was a game-changer. We integrated with our Oracle and SAP systems in weeks, not months.

EVP

Lumi’s agentic AI handles the kind of complex data orchestration that used to require entire engineering squads. 5x faster time-to-insight with dramatically fewer errors.

Chief Data Officer

$2.4M in monthly recoveries we were leaving on the table. The ROI dashboard makes it impossible to ignore the impact.

CFO

Where We've Done This

These started as
conversations like this one.

Banking & Insurance

SOP Regulatory Monitoring

Agents track FINRA/SEC changes in real time and flag compliance risks automatically.

Finance & HR

Back-Office Automation

Agents reconcile records, validate invoices, and route exceptions across ERP and HCM.

Insurance

Policy Claims Intelligence

Agents triage cases, interpret coverage, and cut adjudication time from 12 days to 48 hours.

Retail & CPG

Social Launch Mission Control

Agents coordinate launches across content systems and surface real-time social insights.

Your Turn

Where are your teams
spending time they shouldn't?

Exceptions

Tame the exception queue.

Where do exceptions pile up between systems? What percentage of your team's time goes to resolving mismatches and manual workarounds?

Cross-System

Bridge the system gaps.

Which workflows require people to copy data between three or more tools? Where is context lost in handoffs?

Compliance

Make audit-readiness effortless.

What audit or compliance tasks are done manually because no single system has the full picture?

Intelligence

Reports in minutes, not days.

Which reports take days to compile because the data lives in six places? Where would real-time insight change the decision?

Technical Capabilities

Enterprise AI demands more
than a good model.

Four core capabilities that make the difference between a demo and a system your operations team can trust.

Orchestration

Workflow Orchestration

Coordinate complex handoffs across people, agents, and systems — reliably.

Governance

Governance & Control

Approvals, audit trails, kill switches, and policy enforcement from day one.

Integration

Enterprise Integration

50+ connectors to ERP, CRM, data platforms, and APIs — built once, deployed everywhere.

Intelligence

Operational Intelligence

Every agent reports in business terms — metrics your CFO can act on.

Sample Architecture

The Sidecar Approach.

Our agents sit beside your systems — they never replace them. Turn it off, and your ERP still works. This is how we de-risk AI adoption.

Experience Layer

Reasoning Designer · Agent Marketplace · Pre-built Integrations

Intelligence & Orchestration

Context Engineering

Memory · Runtime

Agent Studio

Workflow Designer

Command & Control

Monitoring · Ops

Foundation

Event Bus Tool Fabric Data Foundry Task Queue Evaluations Signing & Verification

Purpose-Built Agent Layer

Review Compliance Agent

Content Workflow Agent

Operations Agent

Each sidecar runs independently — scoped to a single workflow, with its own governance and audit trail

Agent Sandbox & Harness · Enterprise Integrations · Governance Layer

System of Action

How an agent actually
does the work.

Orchestration

Triggers API Services

Inputs

Requirements System State Recent Interactions Current Priorities

Context Engineering

Workflows

Standardized Agent Harness

Model

Reasoning Designer

Plan · Thoughts · Strategies

Model

Gateway & Runtime

Requested Action

use tool

Work Results

Final Answer

Goal Reached Budget Exceeded Stumped Next Step

Task Management · Queue · Policy

Tool Fabric Data Foundry Event Bus

Human × Agent Interface

Agent Evaluation Suite

Mission Control Apps

Mobile Approval App

AgentOps Console

Governance Panel

Observability

Existing Enterprise Systems of Record

Document Folder Internet Memory Host Enterprise Apps

Team Readiness

You won't need to hire
an AI team.

Your pod is assembled based on the workflow — not pulled from a bench. Every role is filled by someone actively building agents today.

One lead, one outcome. Your pod is assembled based on the workflow — not pulled from a bench. Every role is filled by someone actively building agents today. No staffing calls. No context-switching. Just results.

Agent Engineer

Designs and builds agent solutions alongside your team

Data Steward

Defines source-of-truth rules, quality constraints, and data access

Requirements Dev

Uses agent-assisted tools to design the business process and UX

Agent Ops Engineer

Manages agent infrastructure, monitoring, and reliability

Process Leader

Builds SOPs, edge cases, and approval gates with your functional experts

Teams across the United States, Poland, and India

Where We Deliver

Industry Solutions

Purpose-built AI agents solving the hardest problems in your industry.

Manufacturing

TariffIQ

Autonomous tariff classification & duty optimization across global supply chains.

Healthcare

PayerCollect

AI-driven claims follow-up that recovers revenue stuck in payer queues.

Banking

CMemo

Automated credit-memo generation that cuts analyst prep time by 70%.

Manufacturing

NCR Cockpit

Real-time non-conformance monitoring & root-cause analysis dashboard.

Finance

Resolver

Intelligent dispute resolution that triages, documents & escalates automatically.

Cross-Functional AI

Enterprise Operations

AI agents that transform back-office operations across every department.

Sentinel

Continuous policy-compliance monitoring across workforce data & HR systems.

Legal

Deal Review

AI contract analysis that flags risk clauses & accelerates deal cycles.

Finance

Close Accelerator

Streamlines month-end close with automated reconciliation & journal entries.

Sales

Proposal Builder

Generates tailored proposals by synthesizing CRM data, pricing & case studies.

The Reality Check

The Production Gap

87% of AI projects never make it to production. Not because the models fail — because everything around them does. Here’s what it actually takes.

Integration Complexity

Enterprise systems don’t speak the same language. Agents need deep connectors, not generic APIs.

50+

Pre-built enterprise connectors

Governance & Trust

Compliance, audit trails, and human-in-the-loop aren’t afterthoughts — they’re table stakes.

Day 1

Compliance-ready governance

Operational Readiness

Agents need monitoring, failover, and escalation paths — just like any mission-critical system.

24/7

Production monitoring & SLA

The Team Gap

You need ML engineers, data engineers, and domain experts working together from day one.

PoD

Embedded cross-functional teams

This is the gap we close.

Proven Results

By the Numbers

70%

Reduction in manual processing time

Faster time-to-production vs. in-house

$2.4M

Average annual savings per deployment

98.5%

Agent uptime across production deployments

Enterprise agents in production today

Next Steps

A purposeful pilot.

We don't start with a massive rollout. We start with one workflow, one team, and a clear definition of success. Here's what that looks like.

Pick the Workflow

Together we identify one high-friction process. We map it step by step — systems, people, approval points, and where the bottleneck actually lives.

Design & Build

We scope the agent, define governance boundaries, integrations, and success metrics. Clickable in 3 days. Production-ready in weeks.

Prove & Expand

Deploy with real users, measure real outcomes. When the numbers speak, they make the case for what's next. Results fund the roadmap.

Low risk, fast signal. The pilot is scoped so you see measurable value within 8 weeks — without disrupting your existing systems or operations.

We get AI agentsto production.

We meet you where you are.Then we move fast.