Executive Summary

Crystal Reports is aging out. Talent is shrinking. The modern stack has moved on. Yet migration projects stall because they are manual, error-prone, and slow. This article introduces a multi-agent AI pipeline — six specialist agents, each evaluated before advancing — that automates the Crystal-to-Power BI conversion end to end.

Six Agents, Six Evals

The pipeline is an assembly line of six autonomous AI agents coordinated by a Master Orchestrator. Each agent has a defined role, produces concrete outputs, and is evaluated against specific criteria before its work becomes input for the next. If the first agent’s output is wrong, everything downstream will be wrong. The architecture prevents that.

Each green ✓ EVAL gate verifies the agent’s output before it becomes input for the next. Here is what gets checked at every gate:

Agent	Eval Checks	Pass →	Fail →
1: Extraction	Schema complete? Fields match TTX? Data source found in C#?	Advance to 1B	Retry; fall back to TTX-only
1B: Data Access	Alignment ALIGNED/PARTIAL? SP executes? Params mapped?	Advance to 2	Document blockers; warn downstream
2: Analysis	All formulas translated? Layout mapped? Dataset aligned?	Advance to 3	Flag untranslated as Manual_Review
3: Visual	Corrections identified? 15 acceptance criteria defined?	Advance to 4	Apply default criteria template
4: RDL Build	All E1–E3 rules pass? XML schema valid?	Advance to 5	Fix and recheck before writing
5: Validation	V0–V6 sequence; 10 MUST + 5 SHOULD criteria scored	CERTIFIED	Fix → re-run (max 2x) → Manual Review

Inside Each Agent

Agent 1: Extraction Specialist

Performs lossless extraction from three authority sources: SDK extraction from the .rpt binary (primary structural authority), TTX field schema (type metadata), and C# source code (runtime data flow). Produces 14 JSON artifact files covering every structural element.

Agent 1B: Data Access Layer Specialist

Performs a three-way alignment — TTX fields ↔ C# code ↔ SQL stored procedure — to produce an authoritative data mapping. This catches discrepancies no single source reveals: field names that don’t match the SP output, parameter transformations in C# code, or dataset tables the report expects but the SP doesn’t return.

Agent 2: Formula and Layout Analyst

Translates Crystal formulas into Power BI RDL expressions and generates a pixel-level layout blueprint. Examples of what gets converted:

Crystal Reports Formula	Power BI RDL Expression	Type
Sum({Orders.Amount})	=Sum(Fields!Amount.Value)	Aggregate
If {Status} = "Active" Then "Yes" Else "No"	=IIF(Fields!Status.Value = "Active", "Yes", "No")	Conditional
ToText({Date}, "MM/dd/yyyy")	=Format(Fields!Date.Value, "MM/dd/yyyy")	Formatting
WhilePrintingRecords; count({ID})	=CountDistinct(Fields!ID.Value)	Running total
If IsNull({Phone}) Then "N/A"	=IIF(IsNothing(Fields!Phone.Value), "N/A", Fields!Phone.Value)	Null handling

Agent 3: Visual Fidelity Analyst

Uses the reference PDF as ground truth. Compares pixel-level output against the layout blueprint to generate correction rules (column widths, font rendering, row spacing, group breaks). Critically, defines the 10 MUST MATCH + 5 SHOULD MATCH acceptance criteria that Agent 5 validates against.

Agent 4: Power BI RDL Builder

Generates the complete Power BI paginated report XML. Before writing a single line, loads a curated error prevention ruleset — institutional knowledge from previous conversions encoded as code:

Category	Example Rules	What It Prevents
E1.x — Structure	PageHeader must be child of Page; ReportID must be valid GUID	Report Builder crashes on file open
E2.x — Artifacts	No XML comments; no empty ReportItems or Style elements	Silent rendering failures
E3.x — Tablix	Row count = leaf count; TablixHeader not Header; sibling consistency	Data grid corruption

After generation, a pre-write validation scan checks every rule. Only when all rules pass does the agent write the RDL.

Agent 5: Validation & Certification Specialist

Runs a comprehensive end-to-end validation across seven sequential phases:

V6 produces the acceptance scorecard against 15 criteria. If MUST MATCH criteria fail, the agent fixes issues and re-runs the full V0–V6 sequence — up to 2 iterations — then stops and documents what needs manual attention.

Certification Status	Meaning
CERTIFIED	All 10 MUST MATCH pass. Production-ready.
WITH LIMITATIONS	All MUST pass, some SHOULD fail. Functional with documented cosmetic differences.
MANUAL REVIEW	MUST MATCH fail after 2 iterations. Documented root causes + manual fix instructions.

What Gets Delivered

No proprietary format. Standard SQL + Power BI .rdl. Full artifact trail from all six agents preserved and auditable. Your team owns everything.

The Master Orchestrator

The orchestrator enforces three rules: (1) evaluate every agent’s output before advancing, (2) retry failed agents once (max 2 attempts) before escalating, and (3) resume from the last completed agent if interrupted — no re-work. Pipeline state is tracked in PIPELINE_STATUS.json throughout.

The philosophy is graceful degradation. If the Crystal SDK isn’t installed, Agent 1 falls back to TTX-only. If source code isn’t provided, alignment becomes two-way. If the reference PDF is missing, Agent 3 is skipped. The pipeline always produces the best possible output given available inputs, and always documents what it could and could not do.

Error Handling: Graceful Degradation

The pipeline is designed to be resilient, not brittle. The philosophy is graceful degradation — always produce the best possible output given available inputs, and always document exactly what could and could not be done.

Error Condition	Response
Crystal SDK not installed	Agent 1 falls back to TTX + manual extraction; pipeline continues with reduced fidelity
Source code not provided	Three-way alignment becomes two-way (TTX + SP); continues with warnings
Formula cannot be translated	Marked Manual_Review_Required; other formulas continue
Reference PDF not provided	Agent 3 skipped; Agent 4 runs without rendering corrections (lower fidelity)
V6 fails after 2 iterations	MANUAL_REVIEW_REQUIRED.md with root causes and fix instructions; pipeline ends gracefully

The Business Case

Speed: 3–5 developer-days per report compressed to hours. Multi-year programs become quarterly.

Consistency: Same six agents, same evals, every report.

Auditability: Complete artifact trail from extraction to certification.

Risk reduction: Error prevention + seven-phase validation catch what manual migration misses.

Based on a production multi-agent AI pipeline. Architecture, evaluation protocols, error prevention rulesets, and certification workflows drawn from real pipeline definition files including the Master Orchestrator, Extraction Agent, Data Access Layer Agent, Formula/Layout Analyst, RDL Builder Agent, and Validation/Certification Agent.

Getting Started

Identify 5–10 Crystal Reports spanning your complexity range. Run them through the pipeline. The certified output — with acceptance scorecards and deployment guides — is the proof point for a full portfolio migration.

Let’s talk.  Still migrating Crystal Reports by hand? We’ll walk you through the six-agent architecture using your actual reports — no pitch deck, just a working demo. 

Or start with a pilot: send us 5–10 reports, and in 4–6 weeks we’ll return certified Power BI reports with full acceptance scorecards. No commitment beyond the pilot. Reach out to us.