HOW DATACHECKS WORKS
Migration work, executed by specialized AI agents.
Datachecks turns assessment, discovery, mapping, translation, validation, and reconciliation into controlled agent workflows — while migration experts stay focused on decisions, exceptions, and sign-off.
MIGRATION CONTEXT
184 SCHEMAS
1,217 DEPENDENCIES
BUSINESS RULES
PRIOR APPROVALS
DATACHECKS
AGENT EXECUTION
UNDERSTAND
MAP
TRANSLATE
VALIDATE
SPECIALIZED AI AGENTS EXECUTE THE WORK
MAPPING CONFIDENCE
68%
status_code
customer_status
UNSUPPORTED TRANSFORMATION · REQUIRES REVIEW
EXPERT REVIEW
MAPPING APPROVED
TRANSLATION VALIDATED
RECONCILIATION EVIDENCE SAVED
MIGRATION EXPERTS OWN DECISIONS, EXCEPTIONS & SIGN-OFF
THE OPERATING MODEL
Agents execute the repetitive work. Experts stay on the decisions.
Datachecks shifts repeatable migration work to specialized agents while keeping migration engineers responsible for context, exceptions, critical decisions, and approval.
MIGRATION WORK
AI AGENTS
EXECUTION AT SCALE
Analyze schemas
Profile data
Generate mappings
Translate legacy logic
Generate tests
Compare source and target
Reconcile results
Surface exceptions
EXCEPTIONS · LOW CONFIDENCE · REVIEW
MIGRATION EXPERTS
JUDGMENT & APPROVAL
Provide business context
Review low-confidence outputs
Resolve exceptions
Apply domain judgment
Approve critical decisions
Manage sign-off
APPROVED OUTPUT
Automation at scale. Human judgment where it matters.
THE MIGRATION LIFECYCLE
Understand. Map. Translate. Validate.
Datachecks organizes complex migration programs into four connected stages. Each stage is powered by specialized agents and carries approved context forward to the next.
01 · Understand
Know what you are migrating before you rebuild it.
POWERED BY · Assessment Agent + Discovery Agent
Inventory the estate · Profile data · Identify dependencies · Surface complexity and migration risk
OUTCOME · A migration-ready understanding of the legacy estate.
UNDERSTAND
01
OBJECTS DISCOVERED
10,428
DEPENDENCIES
1,217
SCHEMAS
184
COMPLEXITY
HIGH
02 · Map
Turn source structures into target-ready mappings.
POWERED BY · Mapping Agent
Generate source-to-target mappings · Recommend transformations · Assign confidence · Route exceptions for review
OUTCOME · Reviewed mappings ready for execution.
MAP
02
customer_id
customer_key
VARCHAR(20)
STRING
TRANSFORM
TRIM → UPPERCASE
CONFIDENCE
97%
03 · Translate
Convert legacy logic without rewriting everything by hand.
POWERED BY · Translation Agent
Translate SQL and stored procedures · Adapt platform-specific syntax · Surface unsupported patterns
OUTCOME · Target-ready migration logic with exceptions clearly identified.
TRANSLATE
03
SOURCE
Oracle PL/SQL
TARGET
Snowflake SQL
PROCEDURES CONVERTED
412
SYNTAX
VALIDATED
04 · Validate
Prove the migrated data is right.
POWERED BY · Validation Agent + Reconciliation Agent
Generate tests · Compare source and target · Reconcile at row and aggregate level · Produce evidence
OUTCOME · Validated migration results with traceable evidence.
VALIDATE
04
SOURCE ROWS
12,419,812
TARGET ROWS
12,419,812
TESTS PASSED
8,397 / 8,421
RECONCILED
100%
SPECIALIZED AGENTS
Six agents. Each built for a different migration decision.
Rather than relying on one general-purpose AI assistant, Datachecks uses specialized agents with migration-specific responsibilities, context, outputs, and validation.
01
UNDERSTAND
ASSESSMENT AGENT
What are we actually migrating?
Object inventory · Complexity signals · Dependencies · Migration risk
OBJECTS
10,428
COMPLEXITY
HIGH
DISCOVERY AGENT
What does the legacy estate actually contain and mean?
Profiling · Relationships · Business rules · Sensitive-data indicators
RELATIONSHIPS
1,217
SENSITIVE FIELDS
38
02
MAP
MAPPING AGENT
Where should everything go?
Source-to-target mappings · Transformation recommendations · Confidence scores · Review queue
customer_id
customer_key
CONFIDENCE
97%
03
TRANSLATE
TRANSLATION AGENT
How should legacy logic run on the target platform?
Converted SQL · Stored procedure translation · Platform adaptations · Review queue
PROCEDURES
412
SYNTAX
VALIDATED
04
VALIDATE
VALIDATION AGENT
Does the migrated implementation behave correctly?
Generated test cases · Comparison results · Failed checks · Exceptions
TESTS
8,421
EXCEPTIONS
24
RECONCILIATION AGENT
Can we prove source and target agree?
Row and aggregate reconciliation · Mismatch analysis · Drill-down and sign-off evidence
ROWS MATCHED
12,419,812
RECONCILED
100%
HOW AN AGENT WORKS
Every agent follows a controlled migration loop.
Agents do not simply generate an answer and move on. They work from migration context, validate their outputs, expose uncertainty, route exceptions, and preserve approved decisions for downstream work.
01
CONTEXT
Read what is already known — schemas, rules, dependencies and prior approvals.
02
REASON
Interpret the migration task against source semantics, target expectations and relevant constraints.
03
GENERATE
Create the migration output — a mapping, a translation, a test, or reconciliation logic.
04
VALIDATE
Check before accepting, using deterministic rules, execution results and source-target comparison.
05
SCORE
Make uncertainty visible. Every output carries a confidence signal.
06
REVIEW
Route exceptions to the right expert. Low-confidence or unusual outputs stop for review.
07
REMEMBER
Preserve approved outcomes. Approved decisions become context for downstream agents.
LOOPS BACK INTO 01 · CONTEXT
ONE MAPPING, THROUGH THE LOOP
SOURCE
customer_id VARCHAR(20)
TARGET
customer_key STRING
SUGGESTION
TRIM → UPPERCASE
CONFIDENCE
68%
STATUS
EXPERT REVIEW REQUIRED
EXPERT APPROVES
APPROVED MAPPING
customer_id → customer_key
STORED AS MIGRATION CONTEXT
MIGRATION MEMORY
Every approved decision becomes context for the next one.
Datachecks carries approved migration knowledge forward so each stage starts with more context instead of rediscovering the same information.
discovers
CUSTOMER schema
identifies
customer_id = business identifier
approves
customer_id → customer_key
uses
customer_key transformation
tests
customer_key transformation
verifies
customer relationship preserved
Migration knowledge compounds.
Approved mappings, patterns, tests and decisions can be reused across related migrations — which matters most for migration factories and recurring consolidation programs.
Approved mappings
Transformation patterns
Test packs
Migration rules
Exception decisions
Sign-off records
CONTROL & REVIEW
Automate what is repeatable. Escalate what isn’t.
Not every migration decision should be automated. Datachecks separates routine execution from uncertainty, exceptions, and business-critical judgment.
AUTO-EXECUTE
HIGH CONFIDENCE
Profiling · Metadata analysis · High-confidence mappings · Standard translations · Test generation · Row counts · Aggregate comparisons
UNCERTAINTY SURFACED
REVIEW
EXPERT REVIEW
Ambiguous mappings · Low-confidence transformation logic · Unsupported syntax · Unexpected data patterns · Reconciliation discrepancies
BUSINESS-CRITICAL
HUMAN-OWNED
HUMAN DECISION
Business-rule interpretation · Critical exception resolution · Migration scope decisions · Acceptance criteria · Cutover approval
MIGRATION EVIDENCE
Every stage leaves behind evidence.
Datachecks produces migration artifacts teams can review, approve, test, and use for sign-off — not just AI-generated recommendations.
ENTERPRISE DEPLOYMENT
The migration engine runs where the data lives.
Deploy Datachecks within enterprise-controlled infrastructure, connect approved AI models, and keep migration data, metadata, execution, and evidence within your security boundary.
YOUR ENTERPRISE ENVIRONMENT
Enterprise data
DATACHECKS
MIGRATION EXECUTION · VALIDATION · EVIDENCE
Approved AI models
Identity / SSO
Migration evidence
Private deployment
BYOM
SAML SSO
SOC 2
ISO 27001
FREQUENTLY ASKED QUESTIONS
