Tia — AI Operations Assistant
Tia — AI Operations Assistant
Tia — AI Operations Assistant
Tia is tieback’s AI operations assistant — an intelligent layer embedded directly into your workspace for product intelligence, DPP compliance analysis, operational tracing, and governed actions.
Tia is not a chatbot or a generic AI wrapper. She is context-aware, evidence-backed, and designed to turn enterprise product data complexity into actionable operational clarity. Every response is grounded in your live workspace data, with citations and structured evidence.
Query your live workspace — products, imports, identifiers, domain configuration — and get structured, accurate operational summaries with evidence citations.
Assess field-level Digital Product Passport coverage for any product against the master DPP field catalogue. Identifies mandatory, conditional, and optional field gaps with severity-ranked recommendations. Supports nested and structured storage patterns.
Look up any passport directly by ID. Inspect snapshot identity (frozen at issuance), lifecycle state, linked entities, and detect identity drift where the passport snapshot differs from the current product master data.
Get a comprehensive operational profile of any product: full attributes, linked passports, mint batches, economic operators, compliance context, and locked-field state — all in one structured view.
Explore the DPP field catalogue structure: modules, categories, fields, value sets, and regulatory requirements explained in plain language.
Trace a product through its full operational lifecycle: batches, passports, units, status distributions, and recent mint events — end-to-end visibility.
Trace mint batches, lots, units, and events end-to-end. Investigate the full lifecycle of any operational object with break-glass override visibility.
Assess structural DPP compliance readiness: economic operators, identifiers, passport states, brand configuration, and GS1 setup — with actionable next steps.
Detect unusual patterns in mint events, audit logs, revocation trends, and actor activity to surface potential operational issues early.
Upload CSV, XLSX, PDF, or image files. Tia parses structured data, extracts text from PDFs, and analyses product labels, packaging, certificates, and scanned documents visually.
Trigger CSV manifest exports for completed mint batches through the platform’s governed export pipeline — full manifest and QR manifest formats.
Tia proposes bounded product updates with before/after diffs. You review, approve, or dismiss — nothing changes without your explicit approval. Actions execute under your identity.
Receive structured draft proposals for product attributes, import mappings, and readiness improvements — all proposals only, requiring your review.
Ask Tia about Tieback features, DPP concepts, platform workflows, and regulatory guidance. She searches Tieback’s first-party documentation and returns sourced, authoritative answers.
Resume prior conversations with full transcript rehydration. All six output types — interpretive, evidence, draft, governed-status, staged-action, and action-result — are preserved and restored.
Tia manages conversation context intelligently with safe summarisation for long sessions, ensuring coherent multi-turn interactions without context corruption.
Open Tia from the assistant panel on the right side of any tieback page. She is context-aware — she knows which page you’re on, which workspace you’re in, and tailors responses accordingly.
Tia works best with specific operational questions grounded in your data.
Click the clock icon in the Tia header to view your conversation history. You can:
When you resume a conversation, a small “resumed” label appears next to the context badge so you always know whether you’re continuing a prior thread or starting new.
Conversation history is private — only you can see your own conversations. History is bounded to your most recent 25 conversations per workspace. Resumed conversations send bounded prior context to the model, so Tia has awareness of what was discussed but may not recall every detail from very long sessions.
Ask Tia to check how well a product’s data covers the DPP field catalogue requirements.
Example: “What DPP fields are missing for product X?”
Tia will:
The DPP Field Catalogue is the master dictionary for field-level requirements. Tia uses the active published version as the source of truth. Coverage analysis checks the product’s attributes, identifiers, and top-level fields against catalogue entries, including nested and structured storage patterns where supported. Some complex storage strategies may not yet be fully covered — Tia will indicate when coverage detection is heuristic.
Ask Tia to look up a specific passport by its ID.
Example: “Show me passport abc-123-def”
Tia will return:
If the passport’s snapshot identity differs from the current product master data, Tia will flag the identity drift and explain that the passport preserves the identity at the time it was created.
Passport identity is a snapshot: it reflects what was true at issuance time. If the product has been updated since, the passport intentionally retains the original values. This is by design for traceability and regulatory integrity.
Ask Tia to explain what the DPP requires — modules, categories, fields, and allowed values.
Examples:
Tia explains catalogue structure in plain language, not raw schema dumps.
Ask Tia to show you everything about a specific product.
Example: “Show me everything about product X”
Tia returns:
Ask Tia to trace a product through the system.
Example: “Trace product X — show me its batches, passports, and units”
Tia traces:
Tia can parse and analyse uploaded files in context.
Limits: 5 MB per file, 5 files per conversation.
For complex investigations, ask Tia to trace specific objects end-to-end.
Example: “Trace mint batch abc-123 — show me everything about it”
Tia will return:
Use gap analysis to track your DPP readiness progress over time.
Example: “What compliance gaps do I have for DPP readiness?”
Tia checks:
Tia assesses structural readiness. She does not certify regulatory compliance or provide legal advice.
Ask Tia to export CSV manifests for completed mint batches.
Example: “Export a full manifest CSV for mint batch abc-123”
Available formats:
Exports are generated through the standard governed pipeline. Tia triggers them but does not build files directly.
When Tia identifies actionable improvements, she generates structured draft proposals — for product attributes, import mappings, or readiness summaries.
All drafts are proposals only. They require your review before any action is taken.
Tia can propose bounded product updates. When she does, you’ll see a polished action card showing:
How it works:
Example: “Update the GTIN for product X to 1234567890123”
Tia can currently propose product field updates only. Broader action types are planned for future releases. The permission model follows a “digital twin” approach — Tia proposes, the backend decides what you can actually change.
Tia can generate large batches of serial numbers deterministically on the backend and deliver them as a downloadable CSV file.
Example: “Generate 5,000 alphanumeric serials with prefix TB-2026”
Tia will:
Supported formats:
Limits: Up to 50,000 serials per request. Download links expire after 1 hour.
Generated serials are not automatically inserted into any database table. They are a downloadable artifact only. To use them for minting, download the CSV and use the BYO (Bring Your Own) serials flow in the Mint Token wizard.
Tia can search Tieback’s first-party documentation to answer questions about platform features, DPP concepts, and workflows.
Examples:
Tia retrieves from canonical Tieback documentation and cites the source. If no relevant docs are found, she’ll say so honestly.
The following capabilities are planned and in active development:
Tia can currently propose product field updates through approval-gated actions. Support for creating new records, deleting records, and modifying non-product entities is in development.
Tia can currently search Tieback’s own documentation. External web search for regulatory guidance and industry references is planned.
Text-layer PDFs are fully supported today. Scanned or image-only PDFs cannot yet be read as text. Native image files (PNG, JPG, WebP) can be analysed visually.
Cross-tenant investigation by support staff through Tia is planned. This requires additional backend infrastructure for secure proxy token handling.
Current anomaly analysis covers event-level patterns. Advanced statistical modelling with brand-configurable thresholds and trend analysis is planned.
You can resume prior conversations today. Full-text search across all past conversations by keyword or topic is planned.