Manual Document Intake
Teams classify, rename, extract and re-enter information before useful work can begin.
Documents arrive in different formats, information is checked repeatedly and cases move through
informal handoffs before qualified people can make a decision.
Our Solution
Automatically classify incoming documents, extract key information, and create structured case records.
Our Solution
Apply approved rules and quality checks consistently while identifying missing or conflicting information.
Our Solution
Record validations, decisions, system updates, supporting evidence, and human approvals throughout the workflow.
Our Solution
Send complex or ambiguous cases to the right specialists with the relevant context and evidence attached.
SmartDev helps professional services firms automate knowledge-intensive workflows and extend delivery capacity with integrated, outcome-focused engineering teams.
NORA helps professional services firms streamline document-intensive client work, automate repetitive delivery processes, and support complex decisions with governed AI, human oversight, and end-to-end auditability.
Classify incoming material, extract key fields and prepare structured records.
Assemble context, check completeness and prepare cases for qualified review.
Apply approved validation criteria and surface items requiring specialist judgment.
Direct unusual cases to accountable owners with context and evidence attached.
SmartDev provides cross-functional engineering teams that integrate directly into client programmes, retain delivery context, and take responsibility for defined business and technology outcomes.
Build data pipelines, retrieval systems, model integrations, analytics platforms, and governed AI capabilities for production environments.
Modernize outdated applications, architectures, and interfaces to improve scalability, security, maintainability, and integration readiness.
Connect CRM, ERP, document management, finance, and client-service platforms to enable unified workflows and reliable data exchange.
Provide stable engineering capacity for development, maintenance, optimization, and ongoing technical improvement.
Explore how SmartDev helps professional services firms streamline knowledge-intensive workflows, expand delivery capacity, and achieve measurable outcomes through integrated engineering teams.
Identify documents, business rules, handoffs, exceptions, and current processing costs.
Structure information, apply approved checks, update systems, and route complex cases.
Monitor processing time, quality, exceptions, service levels, and cost per case.
Choose the level of ongoing accountability that matches what SmartDev delivers from
one AI-enabled workflow to a broader AI system or your evolving software estate.



Clearing the Path: Common Queries.
NORA supports recurring, document-intensive workflows such as document intake, data extraction, case preparation, information validation, quality review, request routing, and exception management. The strongest candidates are high-volume processes with measurable costs, backlogs, service levels, or error rates.
Yes. NORA can capture and classify information from multiple document types and convert unstructured content into standardized case data. It can then validate extracted information against approved requirements and identify missing, inconsistent, or unclear details for further review.
No. NORA is designed to automate repetitive preparation and processing tasks while keeping people responsible for ambiguous cases and consequential decisions. This allows agents and specialists to spend more time resolving exceptions, supporting customers, and performing work that requires expertise or judgment.
NORA applies client-approved rules, validation steps, routing criteria, and quality controls consistently across the workflow. When a case falls outside the standard path, it is escalated to the appropriate person with the relevant information and evidence, reducing dependence on informal knowledge and individual working methods.
NORA identifies missing information, conflicting data, unusual conditions, and other exceptions during processing. It then prepares the available context and routes the case to an authorized specialist, enabling faster review without allowing AI to make decisions beyond its approved scope.
Teams can monitor processing time, cost per case, automation rate, exception volume, backlog, error and rework rates, service-level performance, and quality outcomes. These indicators are measured against an agreed baseline so organizations can evaluate the workflow’s actual operational impact.
Yes — it’s our most common starting point. Most business services and BPO operations already run some automation: RPA bots that break when a document template changes, scripts nobody owns, or an AI pilot that handled the clean cases and left the rest to people. We assess what’s actually there against what production demands — integration with your case and client systems, exception handling that routes to a named owner, evaluation, security, maintainability, and clear operational ownership. Working components are retained; the brittle parts get rebuilt properly. You don’t start over.