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XLERATORAI SOLUTIONS

Purpose-Built Applications.
Shared Intelligence. Multiple Entry Points.

Use one XLeratorAI application, a connected Strategy-to-Code path, or a purpose-built assembly around a completely different business problem. Start where the value is and expand only when the result earns it.

Tell Us About the Problem → Explore a Partnership
STRATEGY • PORTFOLIO • REQUIREMENTS • CODE • CONTINUOUS INTELLIGENCE
MULTIPLE ENTRY POINTS. ONE SHARED FOUNDATION.
StrategyDefine direction and outcomes
PortfolioPrioritize and fund the right work
RequirementsTranslate intent into a buildable plan
CodeAccelerate delivery with human control
CortexIQThe governed second brain across the flow
Data OrchestratorThe single controlled connection to enterprise systems
TWO CORE SOLUTION PATHS

From Strategic Intent to Working Software.

Use either path independently, connect them when it helps, or enter downstream when the client already has the upstream process in place.

STRATEGY TO PORTFOLIO

Make Better Investment Decisions.

Connect strategic intent to prioritized work, then keep intelligence flowing as the portfolio changes.

1
Strategy GeneratorTurn strategic intent into goals, focus areas, outcomes, and candidate initiatives.
2
Portfolio BuilderScore, compare, sequence, and make tradeoffs across competing investments.
3
Portfolio IntelligenceContinuously surface exceptions, risk, and decision-ready portfolio findings.
∞
DependencyIQReveal cross-project, system, department, and guardrail relationships that individual plans miss.
It is a loop, not an annual planning event. What happens in the portfolio should inform the next prioritization and strategy cycle.
PORTFOLIO / REQUIREMENTS TO CODE

Carry the Right Work Into Delivery.

Take a selected initiative, project, demand, or ITSM work item and move it toward a buildable blueprint and working software.

1
Portfolio Builder or ITSMIStart with prioritized portfolio work or an existing service-management / demand source.
2
Blueprint GeneratorTranslate intent, context, constraints, and requirements into an implementation-ready blueprint.
3
AI Developer AgentAccelerate software creation with explicit human approval gates and enterprise controls.
✓
Delivery ToolsMove into the client's Jira, GitHub, Azure DevOps, or other established delivery workflow.
The downstream path does not require Strategy to Portfolio. If the client already knows what needs to be built, start there.
SHARED ACROSS THE PLATFORM

The Context and Connection Layer.

CortexIQ and Data Orchestrator are not side applications. They are the common foundation that helps every solution reason with the right context and interact with enterprise systems through a controlled boundary.

That means the individual application can stay focused on the business problem while context, credentials, integration, audit, and enterprise guardrails are handled consistently.

CORTEXIQ

The Second Brain

Stages governed organizational context so XLeratorAI applications can reason with more than the prompt in front of them.

  • Company documents and prior decisions
  • Architecture, topology, policies, and guardrails
  • Historical project and portfolio context
  • Source, evidence, and human review
DATA ORCHESTRATOR

The Single Secure Connection

Creates one governed boundary for internal and external systems instead of scattering credentials and integration logic across every application.

  • Governed credentials and access
  • Data ingestion, export, and movement
  • Enterprise application connectivity
  • Centralized audit and control
THE APPLICATION LAYER

Purpose-Built Applications.
Designed to Work Together.

You can use one application, a connected solution path, or the broader platform. The architecture is intended to support the problem, not dictate it.

STRATEGY

Strategy Generator

Structures strategic direction into goals, focus areas, outcomes, and initiatives that can move into investment decisions.

Best fit: strategy refresh, advisory work, planning, executive alignment.
PORTFOLIO

Portfolio Builder

Provides intake, scoring, prioritization, tradeoffs, and sequencing so leaders can decide what should be funded and why.

Best fit: PMO modernization, investment planning, demand prioritization.
INTELLIGENCE

Portfolio Intelligence

Reads portfolio data, applies business-rule and AI analysis, and pushes exceptions and decision-ready findings instead of waiting for monthly reconstruction.

Best fit: continuous portfolio health, managed intelligence, executive reporting.
DEPENDENCIES

DependencyIQ

Builds a connected view across projects, systems, departments, shared capabilities, and guardrails to surface hidden collisions and concentration risk.

Best fit: cross-project risk, complex portfolios, shared-platform planning.
BLUEPRINT

Blueprint Generator

Turns requirements and enterprise context into a structured solution blueprint that can guide architecture and software delivery.

Best fit: application modernization, new product builds, requirements-to-code.
DELIVERY

AI Developer Agent

Accelerates implementation from approved blueprint to working code while keeping human approval and engineering discipline in the loop.

Best fit: accelerated build, modernization delivery, controlled AI development.
SHARED FOUNDATION

CortexIQ

Provides the governed organizational context, source evidence, standards, and history that make every application more informed.

Used across solution paths as the contextual second brain.
SHARED FOUNDATION

Data Orchestrator

Centralizes credentials, connectivity, data movement, and audit so applications do not each become their own integration boundary.

Used across solution paths as the single controlled enterprise connection.
THE ACCELERATOR ADVANTAGE

We Never Start From Scratch.

The named applications are only part of the capability.

XLeratorAI also brings reusable business logic, engineering patterns, integrations, workflows, scoring models, approval gates, and other accelerators accumulated across previous builds. That lets us assemble more of the first solution from proven capability and focus new engineering on what is actually unique.

A fast proof does not mean the underlying business problem was simple. It means we brought more capability into the room on day one.

Think solution assembly, not product installation.

The right answer might use one XLeratorAI application, several accelerators, an existing client system, and a small amount of new engineering.

✓

Reuse XLeratorAI capabilities where they already solve the problem.

✓

Keep client platforms where they are already the better answer.

✓

Build only the differentiated capability the use case actually needs.

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Prove the result before adding complexity.

PURPOSE-BUILT PROOF

The Platform Is the Foundation.
The Business Problem Defines the Product.

Strategy-to-Code shows the connected XLeratorAI platform. These examples show what the same product-engineering model can create when the starting point is a completely different business problem.

LIVE PRODUCTION PRODUCT

Evergreen Stitch Shop Manager

A purpose-built operating system designed around the way a custom embroidery and heat-press business actually works. Evergreen Stitch Shop Manager is now a live production application, used day to day across two locations and hosted and supported by XLeratorAI.

Built from: the XLeratorAI platform foundation and integration patterns, including a live marketplace connection.

✓

Used every day by the Evergreen Stitch team to run order intake, design, sourcing, production, delivery, invoicing, customer communication, inventory, purchasing, machine visibility, and retail stock.

✓

Moved beyond POC into a hosted production product with ongoing XLeratorAI operation and support.

✓

Designed so future locations and brands extend the same operating model instead of creating another disconnected application.

How it works in practice: The owners regularly review the working Shop Manager, decide which improvements would make daily operations easier, and turn those conversations into the next release. It keeps evolving after launch. See how small business applications work →

PARTNER POC · MOVING TO CONTRACT

SGIQ: Portfolio Stage Gate IQ

Requested by a consulting firm partner as a portfolio accelerator for its own clients. SGIQ ingests the project data a PMO already has, evaluates each project against a configurable stage-gate framework, and creates one comparable view of portfolio health, blockers, findings, and gate readiness. The proof of concept is complete, and the contract is now in review.

Built from: Portfolio Intelligence, DependencyIQ and Data Orchestrator.

✓

Ingests Excel, Microsoft Project, and SharePoint data into a common project model without requiring every PM to move into a new system first.

✓

Combines configurable business rules with grounded AI project analysis to surface gate blockers, priorities, trends, and recommended actions.

✓

Built with company-scoped data and white-label branding, so the partner can deliver it to multiple clients as its own offering.

SIGNED CLIENT · IN USE

Client Meeting-to-Update Assistant

For a healthcare services company that works with some of the largest health insurers in the country. After each client meeting, the assistant takes the meeting transcript and last week's status presentation and produces the next version of the deck. The proof of concept ran on a private, local AI model, and the contract is now signed.

Built from: CortexIQ standards and Portfolio Intelligence-style status analysis, applied to unstructured meeting data inside the client's environment.

✓

Beyond the proof of concept, everything is built inside the client's own environment, using its own collaboration and office tools and a privately hosted language model. Transcripts and client documents never leave its network.

✓

CortexIQ patterns capture the organization's standards for presentations, emails and client correspondence, so every update is consistent before it goes to the client's health plan customers.

✓

Early result: about 4 hours a week saved for the first client relationship manager using it, with more consistent, higher-quality updates.

✓

Next: rollout to every client relationship lead once testing is complete, then an overall summary drawn from all the updated client decks.

Why these examples matter: none of them started from scratch. XLeratorAI is not trying to turn every client problem into Strategy-to-Code. A live production product, a partner offering moving to contract, and a signed build inside a client's own environment on a private AI model all come from the same advantage: reusing product patterns, engineering capability, AI, governed context, integration, and prior learning to build the right product around the problem, wherever it needs to run.
START WHERE THE VALUE IS.

You Do Not Need the Whole Platform to Start.

Bring us the problem, the current environment, and what success would need to look like. We will help determine the smallest useful solution worth proving.

Tell Us About the Problem → Explore a Product Partnership →