From asking to building

From asking questions to building solutions.

The domain expert isn't just getting answers anymore — they're building the analytics, the models, and the applications that run on Solix. Same business person. Three different ways to use the platform.

Marketing Analyst · Asking "Which EMEA customers are at risk of churn this quarter, and what did our customer success team flag in their last QBR notes with each one?"
The old way

The question gets split across teams and queues.

A Analyst QUEUE data backlog DBA SQL WORK days · weeks EMAIL CSM find docs CSM SEARCH QBR hunt MANUAL reconcile partial answer eventually

Two teams · two timelines · two outputs · one tired analyst doing the merge.

1 Ticket goes into the data backlog.
2 Docs tracked down separately.
3 Two streams, manually reconciled.
Partial answer, eventually.
Elapsed: full delivery cycle
The Solix way

Business asks. The business gets the answer.

ASK DATA SENSE HYBRID QUERY Natural language Data Ask Ground in source AKG + Content Intelligence Structured + docs Permission-aware Cited answer Back to the business

One question. One pipeline. One grounded answer.

1 Analyst asks Data Ask in natural language.
2 Data Sense grounds it — AKG for CRM + support, Content Intelligence for QBR docs.
3 Hybrid Query asks both as one — permission-aware governance enforces who sees what.
Single grounded answer + citations.
Elapsed: on demand
Same Marketing Analyst · Analyzing "Build me a churn forecasting model using the last 18 months of customer behavior, contract data, and support history."
The old way

Pulled into the data team's queue.

A Analyst INTAKE prioritize DE Data Eng ETL extract · clean ML ML Eng FEATURE engineer VALIDATE test cycles PRODUCTION engineering model eventually

Six roles · two wait queues · one model · many quarters.

1 Request joins the data team's queue.
2 Data located, cleaned, joined — all manual.
3 Feature eng, modeling, validation — each its own cycle.
4 Productionization is a separate engineering effort.
Model eventually delivered.
Elapsed: full delivery cycle
The Solix way

The analyst builds the model.

DESC DATA SENSE AI WAREHOUSE Describe model Natural language Surface context Tables · docs · taxonomy Build & version Governed · ML-flow tracked Working model Owned by the analyst

Same person who asked the question now builds the forecast.

1 Analyst describes the model to AI Warehouse in natural language.
2 Data Sense surfaces context — AKG, Content Intelligence, Intelligent Classification.
3 AI Warehouse builds the model — governed, versioned, ML-flow tracked.
Working model, owned by the analyst, inside the trust perimeter.
Elapsed: on demand
Same Marketing Analyst · Building & Deploying "Build an agent that monitors at-risk accounts in real time, drafts personalized outreach when churn signals appear, and routes it to the right account exec."
The old way

Stood up as a development project.

PM BA ARC DEV QA OPS SCOPE DESIGN BUILD INTEGRATE CRM · email · route TEST DEPLOY AGENT eventually

Six roles · five phases · many quarters · pattern may have moved by ship date.

1 Scoping & resourcing — internal or SI engagement.
2 Months of architecture, build, test, deploy.
3 CRM · email · routing — each its own subproject.
4 Production monitoring, bug triage, change management.
Agent ships — pattern may have moved.
Elapsed: full project cycle
The Solix way

The analyst builds the agent.

DESC GENERATE AGENT TEST DEPLOY Describe agent Natural language AI generates Grounded · guardrails Test & deploy PS hardening optional Live in production Monitored · governed

From idea to running agent — built by the business, governed by the platform.

1 Analyst describes the agent in natural language.
2 Solix generates the agent — grounded in the AKG, policy-guardrailed.
3 Test, refine, deploy — Services-Enhanced hardening available when needed.
Live agent in production — monitored, governed, owned by the analyst.
Elapsed: on demand
Solix Enterprise AI . Four Pillars

Understand. Answer. Build. Activate.

Data Sense creates the enterprise intelligence layer by understanding your data, business context, and content through knowledge graphs, metadata, and AI-powered classification. That intelligence becomes the foundation for everything that follows—enabling Data Ask to deliver trusted natural-language answers, AI Warehouse to power governed AI applications, and Agentic to orchestrate intelligent automation. Together, they transform governed enterprise data into actionable insights, AI-driven decisions, and real business outcomes across every platform and every cloud.

Solix Enterprise AI Four Pillars
The Application Knowledge Graph (AKG)

What enterprise depth looks like — across every value stream.

Enterprises run on a set of recurring value streams. Procure-to-Pay, Order-to-Cash, Record-to-Report, and Make-to-Order are common in commercial businesses; healthcare providers, universities, and government agencies run their own equivalents. The Application Knowledge Graph (AKG) encodes the business objects, relationships, terms, and tested query patterns inside whichever applications run your business — so natural-language access works on day one, on the data your business actually has.

PROCURE-TO-PAY ORDER-TO-CASH RECORD-TO-REPORT MAKE-TO-ORDER PO REQ INV PAY VENDOR CONTRACT TAX RECEIPT MATERIAL BUYER SO QUOTE INV PAY CUSTOMER CONTACT PRICING SHIPMENT PRODUCT SALES_REP GL AP_SUB AR_SUB INV_SUB ENTITY CONSOL JOURNAL REPORT AUDIT PERIOD WORK BOM ROUTING OPERATION CAPACITY FORECAST QUALITY INV FG SUPER AKG
All four enterprise value streams in a single Application Knowledge Graph — click a tab above to zoom into one
AP INVOICE VENDOR PURCHASE ORDER MATERIAL JOURNAL PAYMENT AGING GL ACCT COST CTR BUYER CONTRACT PAY TERMS INCOTERM TAX PO LINE RECEIPT INV LINE MOVEMENT REQUESTOR APPROVER BUY GRP Finance Supplier Procurement People
Illustrative Procure-to-Pay cluster — what an AKG encodes for the procurement value stream
AR INVOICE CUSTOMER SALES ORDER PRODUCT PAYMENT AGING CREDIT JOURNAL COLLECT ACCOUNT CONTACT PRICING CONTRACT TAX SO LINE SHIPMENT QUOTE RETURN SALES REP CHANNEL TERRITORY Finance Customer Sales People
Illustrative Order-to-Cash cluster — what an AKG encodes for the revenue value stream
JOURNAL GL ACCOUNT TRIAL BALANCE PERIOD AP SUB AR SUB INV SUB INTERCO ADJUST ENTITY CURRENCY CONSOL ALLOCATION CHART COST CTR PROFIT CTR REPORT AUDIT LOG CLOSE TASK APPROVER RECON Sub-Ledgers Reference Reporting People
Illustrative Record-to-Report cluster — what an AKG encodes for the financial-close value stream
WORK BOM FINISHED GOOD MATERIAL COST ROLL STD COST VARIANCE WIP GL POST ROUTING OPERATION WORK CTR CAPACITY VARIANT INVENTORY QUALITY SALES ORD FORECAST SUPERVISOR SHIFT PLANT Cost Routing Production People
Illustrative Make-to-Order cluster — what an AKG encodes for the production value stream
100%
Schema coverage — every table and relationship modeled
Curated
Application + industry synonym packs ship with the platform
Pre-built
For the major enterprise applications
Productized
Shipped with the platform · tested · governed

The World's Leading Companies Choose Solix

pepsico Amazon paramount elevance health linkedin delta dental ross stores sanofi swissre kaiser permanente wells fargo starbucks citigroup alberta health services optum iron mountain ge appliances juniper networks santander bae systems molson coors sonifi unilever Aig HCSC
Solix Enterprise Edition (EE)

One platform. Five things your business does with it.

Govern. Classify. Build. Access. Preserve. The five capabilities every enterprise needs to put AI in the hands of the business — unified in one consumption-based platform.

Govern

The trust control plane

  • Policy at the point of action
  • Federated across any platform
  • Audit & semantic lineage

Classify

Illuminate & tag

  • Any enterprise data, discovered
  • PII · dark data · ROT
  • DSAR & compliance-ready

Build

Ingest to AI-ready

  • Any source · AI-ready
  • Powered by the AKG
  • Apps on governed data

Access

Ask & answer

  • Natural language, on demand
  • Structured & unstructured
  • Cited · grounded · governed

Preserve

Full data lifecycle

  • Retirement at enterprise scale
  • Retention & legal hold
  • Twenty years of trust
Solix Platform Paths
Your Starting Point

Five paths into Solix. One platform at the end of each.

Every organization begins its data journey with different priorities, challenges, and business goals. Whether you're focused on compliance, legacy application retirement, AI governance, self-service analytics, or content collaboration, you can start where the need is greatest. Each solution delivers immediate value while building toward a unified enterprise data platform. Grow at your own pace without replacing what already works.

Already running Solix?

You're already most of the way there.

Twenty years of preservation work means existing Solix customers don't start their AI journey at zero. They start at step 3.

Already running Solix

Every Solix archiving product — Application Retirement, SAP, Oracle, Mainframe, Email, File, Database, Active Archiving — refreshed with Data Sense and queryable through Data Ask in natural language. Same engine applies to your live production data.

Application Retirement

Application Retirement

The marquee preservation engagement — for legacy decom, M&A, security, and AI-readiness migrations.

Explore the engine
SAP Archiving

SAP Archiving

Pre-built AKG for SAP ECC and S/4HANA. Decades of preserved data, AI-accessible.

Learn More
Oracle / OEBS Archiving

Oracle / OEBS Archiving

Pre-built AKG for Oracle E-Business Suite. Retire decades of EBS data without losing access.

Learn More
Mainframe . Email . File . Database . Active Archiving

Mainframe . Email . File . Database . Active Archiving

Every preservation product line, refreshed with AI access. See them all on the Data Preservation page.

See all preservation solutions
Built on trust

Layered defense. Active everywhere.

Every AI capability sits inside four concentric layers of trust — the same posture hundreds of regulated enterprises have relied on for twenty years.

Solix EDG
Solix Enterprise AI Services
Platform-agnostic

Use the data platform you already trust. Solix sits on top.

Solix Enterprise AI works with the platforms you already own, eliminating the need for costly migrations or duplicate data stores. The EAI intelligence layer connects to your existing environment, applies governance, and delivers trusted AI capabilities—including Data Sense, Data Ask, AI Warehouse, and Agentic—without moving your data from where it already lives.

Resources and News

The Latest from Solix

Explore related resources & news to gain deeper insights, helpful guides, and expert tips for your ongoing success.

  • Event Details
  • October 28 - 30, 2025
  • The Qualcomm Institute at the UC San Diego

SOLIXEmpower 2026 San Diego

The Agentic Enterprise: Reimagining Enterprise Applications with Enterprise AI

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