Introducing Ariftly Forge · Record. Redesign. Operate.Explore the product
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ARIFTLY FORGE / WORKFLOW TRANSFORMATION

Turn complex work
into AI-operated workflows.

Ariftly Forge transforms complex enterprise work into controlled, AI-operated workflows—with validation and human approval built in.

Explore Ariftly Forge See the workflow view
Ariftly Forge / WORKFLOW VIEWILLUSTRATIVE
A technical team reviewing drawings and components around a worktable
ENGINEERING WORK / IN CONTEXT

Expert judgment stays in the loop.

WORKFLOW TRANSFORMATION / CONTROLLED

Human workflow AI-operated workflow

Workflow contextUnderstood
Repeatable workOperated
Checks & exceptionsReviewed
CONTEXT EXECUTION VALIDATIONIllustrative product view
Private by design. Human-supervised. Built around your systems.Record Redesign Operate

PRODUCT DIRECTION / RECORD. REDESIGN. OPERATE.

Meet Ariftly Forge.

The AI-native forward-deployed engineer for transforming enterprise workflows.

Record how work happens today. Ariftly Forge is being shaped to understand the workflow, redesign repeatable steps around AI and trusted tools, and turn the result into a controlled operation. Execution evidence shows what passed, what needed review and what should improve next.

Explore the workflow view Transform a Workflow
FAriftly Forge / WORKFLOW VIEW
ILLUSTRATIVE SCENARIO
AI-NATIVE MODERNIZATION ORACLE SQL TO SNOWFLAKEEXAMPLE FLOW / NO LIVE RUN
60-SECOND GUIDED VIEW
CURRENT WORKFLOW / OBSERVE

Map the work before changing it.

Start with source artifacts, the people who own each decision and the checks that already matter.

  1. 01
    Inventory source SQLObjects, dependencies and dialect-specific constructs
  2. 02
    Capture decision pointsReviews, exceptions and acceptance criteria
  3. 03
    Agree the boundaryA scoped workflow with a named owner
01 Input 02 Action 03 Check 04 Decision 05 Improve

Illustrative 60-second walkthrough. States shown here are examples, not a product run, customer outcome or measured autonomy rate.

WORKFLOW SOLUTIONS

Built for a domain.
Grounded in the work.

AI-Native Modernization is the first domain focus. Other workflow families show where the same controlled approach can expand.

01 / Local SQL V1

AI-Native Modernization

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

Oracle SQL → SnowflakeExplore solution 02 / Workflow direction

Data & Platform Migration

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

ERP and platform migrationExplore solution 03 / Workflow direction

Integration Workflows

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

EDI & trading-partner onboardingExplore solution 04 / Workflow direction

Custom Enterprise Workflows

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

Technical operationsExplore solution

CONTROLLED IMPROVEMENT

How Ariftly
gets better.

Ariftly learns from outcomes, exceptions, validation results and human corrections. Improvements are evaluated and reviewed before being introduced into production workflows.

  1. 01 Observe execution evidence
  2. 02 Evaluate a proposed change
  3. 03 Review before production use
Product direction · Changes remain subject to validation and accountable review.

FOUR CONNECTED CAPABILITIES

One architecture.
Many hard problems.

Modernization, integration, automation and validation work together around a specific system and a measurable outcome.

Legacy → modern

Change the system without losing what matters.

Modernize and migrate legacy applications, data, schemas, code and infrastructure with a controlled path to production.

Source systemTransformVerified outcome
  • Migration
  • Modernization
  • Transformation

EXPERIENCE BEHIND THE PRODUCT

Shaped by real software
and systems work.

Earlier engineering work across financial services, e-commerce and customer-facing platforms informed our attention to integrations, validation and operational handoffs. The product turns those recurring patterns into software.

Engineers working together at computer workstations
01 / SOFTWARE & DATA

Technical depth,
shared clearly.

A warehouse operator working with a scanner and tablet
02 / OPERATIONS

Designed for the real workflow.

DEPLOYMENT & IMPLEMENTATION

Software shaped by
the real environment.

How deployment works
01
Transform + Validate

Systems & Data Migration

Move critical data between systems and prove that the result is correct.

Source schemas and exportsMigration map
Explore service
02
Connect + Validate

B2B & Systems Integration

Connect business-critical systems and keep the data moving reliably.

Interface specificationsIntegration design
Explore service
03
Transform + Validate

Data & Software Modernization

Replace expensive legacy technology without turning modernization into a multi-year rewrite.

Legacy code and schemasModernization plan
Explore service
04
Automate + Validate

Workflow & AI Automation

Automate repeatable technical work while keeping judgment in the right place.

Workflow examplesWorkflow map
Explore service

DEPLOYMENT MOTION

From bounded workflow
to production operation.

Explore forward-deployed engineering
  1. 01 / 04

    Start with a bounded operational problem

    Define the inputs, outputs, constraints, owner and evidence that will show the work is correct.

  2. 02 / 04

    Engineer the solution

    Combine deterministic software, AI models, automation and human review according to the problem—not the trend.

  3. 03 / 04

    Deploy into the real workflow

    Integrate with the systems people already use, test failure paths and prepare the work for production operation.

  4. 04 / 04

    Hand over and improve

    Document the operating path, measure the agreed outcome and refine the workflow with the people who own it.

BEFORE WE BUILD

Good questions.
Clear answers.

A few things worth knowing
before the first conversation.

What is Ariftly?

Ariftly is a software product company building an AI-native Forward-Deployed Engineer for complex enterprise workflows. Ariftly Forge is the workflow-facing product experience. Ariftly Engine provides the developing intelligence and execution capabilities, while Ariftly Runtime is designed for private, customer-controlled execution. Forward-Deployed Engineering helps customers configure and deploy the product around their systems and workflows.

What workflows are a good fit?

The best starting point is a bounded workflow that crosses systems, contains repeatable technical work, has a clear owner, and produces a result that can be verified. Oracle SQL → Snowflake is the current local V1 example. Databricks and legacy ETL modernization are near-term directions. ERP migration, EDI onboarding, integration and technical operations are broader future workflow directions.

See workflow solutions
What does AI automate, and what still needs human approval?

AI can assist with inventory, analysis, mapping, transformation planning and candidate changes. Deterministic checks verify agreed properties. People review unsupported cases, ambiguous business rules and consequential changes. Critical work is completed through validation and evidence — not simply because an AI model says it is done.

Does Ariftly replace our existing enterprise tools?

No. Ariftly is designed to work with the vendor, enterprise and open-source tools teams already trust. The workflow determines which tools are used, how they are accessed and where exceptions require additional handling.

Can it run privately or use customer-controlled models?

Yes, private and customer-controlled execution is a core product direction. The current local SQL V1 includes a deterministic path that does not require a model call. Model providers are explicitly configured, and deployment, model access and data boundaries are defined with each customer.

Does the workflow improve over time?

The product is designed to learn from outcomes, exceptions, validation results and human corrections. Potential improvements are evaluated and reviewed before being introduced into production workflows.

What data is retained, and who owns the outputs?

Retention, access, deletion, configuration ownership and delivered artifacts are defined in the written engagement or deployment terms. Those boundaries should be clear before production access is granted.

How are discovery, deployment and pricing handled?

Pricing is quote-based. A typical engagement starts with workflow discovery, followed by a scoped assessment where needed, then a pilot or production proposal. Pricing depends on workflow complexity, systems involved, deployment environment, validation requirements, data volume, human-review requirements and security constraints.

See pricing and deployment

START WITH ONE WORKFLOW

What should run
with less manual effort?

Show us the current process, the systems it touches and the evidence that would make the result trustworthy.

Book a discovery call