AI products built by Automus to extend Oracle Fusion. FAiS powers a family of AI solutions that address common enterprise application challenges through intelligent automation, actionable insights, and new capabilities.
FAiSAccelerate is an AI-native platform that runs the Oracle Fusion lifecycle. It configures the applications, converts legacy data, builds the integrations, extensions and reports, authors the deliverables in the Automus format, and manages the whole program from Initiate to post go-live. Consultants review and sign off. They stop typing.
On a modeled large release, FAiSAccelerate cuts the implementation timeline by about 30%
Figure 1: Give the program 18 weeks back. On a modeled large release, FAiSAccelerate cuts the implementation timeline from 61 weeks to 43 weeks.
Inside Accelerate
FAiSConfig
Reads the approved configuration workbook and executes roughly 70% of Oracle setup directly through the REST API, with a human approval loop on every artifact and setup metadata pulled from the live instance.
FAiSConvert
Legacy conversion end to end: AI field mapping, cleansing, FBDI pre-validation and reconciliation. Also available standalone.
FAiSDevelops
Generates OIC integration flows and VBCS extensions from the technical design document, reviewed before anything deploys.
FAiSReports
Builds OTBI and BI Publisher reports from a report design document through five quality gates, with pixel-level layout fidelity. Proven at Jenne.
FAiSDocs
Authors functional and technical design documents, configuration workbooks and status reports in the Automus format, drafted from the statement of work and updated from meeting transcripts.
FAiSPresent
Generates steering committee, phase gate, RAID and weekly status decks from live program data. Narrative written from your numbers only, never invented figures. Editable PowerPoint in seconds.
AskFAiS
A copilot embedded everywhere that knows the program, answers questions about it, and carries a request from intent to finished artifact.
FAiSConnect and FAiSOps
Performance testing during build, and steady-state agents after go-live.
Data conversion is the most common reason an Oracle go-live slips. The causes are well known: data complexity and volume, data quality, structural differences between old and new systems, process changes that affect the data, testing and validation, and client time. The industry-standard process still leaves four of the five conversion steps with the client.
FAiSConvert moves the work. The client extracts. Automus transforms, cleanses with AI that points at the records that need attention, pre-validates against Oracle's load rules before anything touches FBDI, loads, and reconciles in one consolidated view rather than a stack of siloed reports. AskFAiS answers questions like “what is the status of the customer conversion?” in plain language.
“Automus has changed how we think of data conversion
with their Conversion Engine!”
Extract: Client Owned. Simplified, because the client no longer needs to transform. Pull it and hand it over.
Cleanse: Jointly Owned. FAiS finds the records that will fail on meaning, not just on format, and shows the client exactly where to look.
Transform: Automus Owned. Field mapping against Fusion structures with AI, cross-reference definitions shared across objects, rules typed and stored so they run identically every load.
Load: Automus Owned. Pre-validation against Oracle requirements before load, dependency-aware sequencing across objects, staging tables inferred automatically.
Reconcile: Jointly Owned. Consolidated reconciliation reports and object-level approval, with a durable history of every conversion run.
Enterprise applications carry a complex web of integrations, and when one fails at two in the morning the first question is where. Oracle's OIC console shows status at the macro level. FAiSConnect shows what happened inside: messages at every stage from extraction through transformation, inbound submission, callback and file server interaction, during execution and not just after it, in a single pane of glass.
Connect also performance-tests. It captures test intent, validates the request, generates realistic payloads, writes and runs the k6 scripts, and self-heals them when the application changes underneath. Data integrity and EDI management, role-based access and OAuth are built in.
What is does
Integration observability: Every OIC integration registered, logged and visible, with run logs and stage-by-stage messages. AskFAiS: “what is the status of this integration?”
Performance testing: Payload generation, k6 script generation, scheduling and hosting, results tracking. A self-heal agent repairs scripts when the target changes.
Data integrity and EDI: Monitoring of inbound and outbound EDI and file-based integrations alongside API integrations.
Manage integrations: Enable or disable logging, register new interfaces, run Fusion queries, sync data. RBAC and OAuth for who can do what.
AI remediation: As FAiS's agentic capabilities land, Connect will identify code issues, remediate and re-run. Roadmap.
Month-end close for the finance team, for as long as you run Oracle. FAiSClose gives every ledger and accounting standard a live view of progress, walks each sub-ledger through its checklist with the next step highlighted, and validates data as it lands in the sub-ledgers or the general ledger so problems surface before the close window opens rather than during it.
A dashboard of client-defined KPIs sits over the whole process, and every widget carries an AskFAiS button that summarizes the data behind it, drafts a report, or answers a question.
What it covers
Sub-ledger close: Payables, receivables, fixed assets and cash management, each with period-close activities, dependency checks and completion metrics. Cost management and projects in build.
Progress by ledger and standard: US GAAP, IFRS, local GAAP: each ledger's state of progress, with previous periods available for comparison.
Checklists that lead: The next step you need is highlighted with instructions. Mark it complete, launch it, or ask AskFAiS about it.
Dashboard and KPIs: Custom widgets defined with the client's finance team and Automus finance experts, accessible during and after the close.
Process attachments: Upload a file, ask AskFAiS about it, and get an answer in the context of the close.
Where it is going: Predictions, data mining and adaptive learning against close history are on the roadmap. We say roadmap, not shipped.
Agents built in Oracle AI Agent Studio for supply chain, procurement, quality, order management, projects, payroll and HR. Fifteen have been accepted by Oracle for its Fusion Applications AI Agent Marketplace across four releases, 26A through 26D, each passing the same 21-point enterprise readiness review Oracle applies to its own templates. Twenty-six are in the library.
LATEST AGENT - FAiSFulfill - An agentic fulfillment application for Oracle Fusion order management. Oracle accepted it for the 27A release. Fulfill brings together the allocation, truckload and order-fix logic that began as separate FAiSOps agents into one application for the fulfillment team.