Architecture Library

PATTERN 01

Document Intelligence Pipeline

01CaptureEmail, upload, scan, API or portal.

02ClassifyDocument type, customer, project, tender or case.

03ExtractEntities, tables, dates, IDs and required fields.

04ValidateCompleteness, consistency and business rules.

05Review / routeHuman review, exception queue or workflow update.

PATTERN 02

AI Email Operations

01IngestMailbox, thread and attachments.

02UnderstandIntent, entities, urgency and request type.

03ContextCRM, tender, customer, case or knowledge lookup.

04PrepareDraft response, next action, route or structured update.

05ControlHuman approval or bounded automation.

PATTERN 03

Role-Based Workflow Operating System

State

Every item has a current stage, owner, status and history.

Permissions

Users see the actions, documents and data appropriate to their role.

Evidence

Documents, remarks, issues and decisions travel with the workflow.

Amendments

Rejected or returned work opens the correct prior stage instead of losing control.

AI assistance

AI reads, summarizes, flags and suggests inside the workflow context.

Auditability

Important changes remain attributable and reviewable.

PATTERN 04

Agentic AI With Boundaries

Trigger

Event, user request, schedule or system state.

Retrieve

Approved context, records, documents and rules.

Decide

Choose among permissioned actions and tools.

Validate

Check output, policy, permissions and confidence.

Act

Execute reversible or approved tool actions.

Escalate

Move uncertainty or high impact to a human.

Record

Log evidence, action, result and owner.

Observe

Monitor cost, quality, failures and latency.

PATTERN 05

Customer / Partner Portal

01IdentityAuthentication, profile, organization and permissions.

02RequestForm, case, order, project or workflow initiation.

03DocumentsUploads, evidence, versions and completeness.

04StatusProgress, next action, communication and ownership.

05ActionApprove, amend, pay, download, message or complete.

PATTERN 06

AI Visualization Workflow

01CaptureUser image or product input.

02SelectSurface, object, region or mask.

03ConstrainProtect non-target objects and preserve scene structure.

04RenderGenerate the requested visual transformation.

05ValidateComposite, compare, confirm and export.

See PaintVision case study

ARCHITECTURE PRINCIPLES

State before AI

AI is more reliable when the underlying workflow knows ownership, status and source of truth.

Human control where impact rises

Autonomy should increase only where permissions, reversibility and evidence justify it.

Integrate around truth

Do not create another isolated database if a reliable system of record already exists.

Observe production behavior

Latency, failures, cost, quality and exceptions matter after launch.

Design recovery paths

Every important automation should know what happens when the normal path fails.

Prototype the risky assumption

Validate the hardest workflow or AI behavior first, not the easiest screen.

Want an architecture tailored to your workflow?

Use the Project Planner to give us the users, systems, data, approvals and goals. The architecture should follow the operation.

Map my architecture ↗Open Astackra OS

Case Study: AI Tender Operations PlatformCase study of an AI tender management platform with document intelligence, role-based workflows, reviews, evid…$10K AI Tender Operations SprintA $10K sprint that turns one tender workflow into a working AI system: document intake, requirement extraction…AI Document Intelligence: Turning PDFs, Email and Uploads into Structured OperationsAI document intelligence for PDFs, email and uploads: extraction, classification, validation, workflow routing…

Architecture Library

Architecture Library