Introducing Ariftly Forge · Record. Redesign. Operate.Explore the product
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SOLUTIONS / DOMAIN WORKFLOWS

Purpose-built for
the work at hand.

Ariftly begins with AI-Native Modernization. The local Oracle SQL → Snowflake workflow is our concrete first example; the other paths below describe where the approach can go next.

Explore Ariftly Forge
An operations professional reviewing work on a tabletWORKFLOWS / IN CONTEXT

FOUR WORKFLOW FAMILIES

Specific work.
Shared discipline.

Each workflow needs its own inputs, tools, checks and accountable decisions. The underlying execution patterns can be reused.

01 / Local SQL V1

AI-Native Modernization

Move legacy logic into a modern platform with reviewable conversion and explicit proof of behavior.

EXAMPLE · Oracle SQL → SnowflakeExplore the workflow
02 / Workflow direction

Data & Platform Migration

Coordinate mappings, trial runs, reconciliation and exceptions across a migration boundary.

EXAMPLE · ERP and platform migrationExplore the workflow
03 / Workflow direction

Integration Workflows

Turn partner specifications, mappings, test exchanges and operational exceptions into one controlled flow.

EXAMPLE · EDI & trading-partner onboardingExplore the workflow
04 / Workflow direction

Custom Enterprise Workflows

Work with technical owners to define the systems, checks and human decisions around a high-value process.

EXAMPLE · Technical operationsExplore the workflow

WORKFLOW EXAMPLES

From input to
reviewable outcome.

One local V1 foundation, two near-term modernization directions and future workflow directions. A direction is an example of scope, not a finished product.

Primary current example · local SQL V1

Oracle SQL → Snowflake

Explore context
  1. 01 / Input

    Oracle SQL files, schemas and representative samples

  2. 02 / AI / tool work

    Inventory dependencies and prepare conversion candidates

  3. 03 / Validation

    Static checks and sample-bound comparisons

  4. 04 / Human exception

    Engineers review unsupported constructs and approve SQL

  5. 05 / Outcome

    A reviewable candidate package and recorded exceptions

Near-term modernization direction

Oracle / Teradata → Databricks

Explore context
  1. 01 / Input

    Legacy workloads, dependencies and target conventions

  2. 02 / AI / tool work

    Proposed conversion plan using existing platform tools

  3. 03 / Validation

    Representative output and behavior checks

  4. 04 / Human exception

    Engineers resolve dialect and business-logic exceptions

  5. 05 / Outcome

    A proposed, evidence-backed migration wave

Near-term modernization direction

Legacy ETL modernization

Explore context
  1. 01 / Input

    ETL jobs, schedules, mappings and sample outputs

  2. 02 / AI / tool work

    Proposed dependency mapping and transformation plan

  3. 03 / Validation

    Data quality, reconciliation and regression checks

  4. 04 / Human exception

    Owners approve ambiguous rules and cutover decisions

  5. 05 / Outcome

    A proposed migration path with explicit exceptions

Future workflow direction

ERP migration

Explore context
  1. 01 / Input

    Source records, target model and business rules

  2. 02 / AI / tool work

    Proposed mappings, trial-load coordination and exception triage

  3. 03 / Validation

    Record, relationship and value reconciliation

  4. 04 / Human exception

    Data owners decide unresolved mappings and cutover readiness

  5. 05 / Outcome

    A proposed, reviewable migration decision pack

Future workflow direction

EDI & trading-partner onboarding

Explore context
  1. 01 / Input

    Partner guides, sample messages and existing mappings

  2. 02 / AI / tool work

    Proposed guide comparison, mapping and test coordination

  3. 03 / Validation

    Message, acknowledgement and business-rule checks

  4. 04 / Human exception

    Integration owners resolve partner-specific exceptions

  5. 05 / Outcome

    A proposed certification and handover record

Future workflow direction

Technical operations

Explore context
  1. 01 / Input

    A bounded technical process, systems and acceptance rules

  2. 02 / AI / tool work

    Proposed analysis and tool-assisted execution path

  3. 03 / Validation

    Workflow-specific deterministic checks and evidence

  4. 04 / Human exception

    Domain owners handle consequential exceptions

  5. 05 / Outcome

    A proposed operating workflow with accountable review

START WITH YOUR WORKFLOW

What needs to run
with more confidence?

Bring the source process, the systems involved and the checks that would make the outcome trustworthy.

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