Design intelligent document processing around your real document mix, business validation and the exceptions people still need to resolve.
TechTiera helps organizations implement Hyland Intelligent Document Processing through document assessment, capture and classification design, extraction configuration, validation, human review and business system integration. We start with a representative document set and measurable acceptance criteria, then plan production monitoring and ongoing improvement.
Hyland IDP applies intelligent document processing to capture, separate, classify, extract and enrich document information. The implementation must also address validation, human review and the business action that follows extraction.
Bring the right services together for your platform, business priorities and operating requirements.
Assess formats, languages, quality, volumes and business variation. Establish a representative sample set and agreed evaluation criteria for document classification, field extraction, review effort and downstream usability.
Configure document intake and the approach to separating and identifying document types. Design handling for unknown documents, missing pages, duplicates and intake failures rather than leaving these outside the process.
Define the fields and structures required by the business. Configure extraction and validation against agreed rules and reference data, including how conflicting, absent or uncertain values are handled.
Design review queues, roles and escalation paths. Agree which values require confirmation and how exceptions return to processing, so staff can resolve uncertainty without losing the document’s audit context.
Send approved data and documents to the systems that need them. Specify field mapping, transaction behavior, idempotency where applicable, error recovery and responsibility for downstream failures.
Track agreed quality measures and review demand after deployment. Use production exceptions and new document variations to guide controlled changes, regression evaluation and operational improvement.
A useful discovery makes scope, dependencies and evidence explicit. These are practical starting points for a conversation.
| Your situation | A useful starting point |
|---|---|
| Accounts payable documents | Start with invoice variants, supplier data, validation rules and posting exceptions. |
| Healthcare or insurance intake | Start with document packets, required information, routing and human verification. |
| A shared services processing team | Start with document diversity, service targets and downstream transaction ownership. |
Good content consulting connects the business process with the engineering underneath it. We bring both perspectives to your Hyland investment.
Extensive experience with Hyland products and certified resources connects solution design with implementation, customization and day-to-day operations.
Content models, permissions, integrations and upgrade paths are treated as part of one solution. We design for the environment you actually need to run.
DocOrbit and ECH360 bring migration and engineering content knowledge into the engagement. AI-powered search extends the value of on-premises information.
Experience across the USA, APAC and the Middle East supports distributed programs, business stakeholders and technical teams working across locations.
Our specialists contribute within wider delivery teams, aligning with established architecture, governance and engineering standards. Clear ownership, dependable execution and practical knowledge transfer help the whole program move forward.
TechTiera’s accelerators and solutions address the work around the platform: moving content with context, controlling engineering information and finding knowledge in existing repositories.
Plan and execute enterprise content migrations with attention to documents, metadata, versions, permissions and associated information. Use repeatable extraction, mapping, import and reconciliation within a governed migration service.
Source and target capabilities are assessed before scope is confirmed. A representative trial establishes mappings, supported data, exception handling, validation and the cutover approach for the customer’s repository combination.
ECH360 brings engineering and capital project information together on Hyland Alfresco. Connect document control, review and approval, transmittals, asset documentation and operational knowledge around the project and asset lifecycle.
Use a configured engineering workspace for capital projects, asset documents, management of change, QHSE and controlled procedures. Information models, workflows and access are tailored to the customer’s delivery and operating practices.
Make existing enterprise information easier to find and use with AI-powered retrieval designed around your repository. Address permissions, source references, indexing and model hosting as part of the architecture.
Agree where the repository, indexes and AI processing run against security and data residency requirements. Evaluate answers against approved content and test access behavior before broader adoption.
Discovery, engineering and operations belong in the same conversation. Our approach makes assumptions, deliverables and responsibilities explicit at every stage.
Understand the people, content, systems and exceptions. Inventory the environment and agree the business and technical boundaries.
Define architecture, information models, integrations, security and acceptance criteria. Identify dependencies and document what success will look like.
Configure, build and integrate in controlled environments. Use representative content, business review and repeatable checks before production change.
Prepare deployment, user enablement and runbooks. Agree support ownership, monitoring and the improvement cycle after go-live.
An example of how a discovery-led engagement could be shaped, with evaluation criteria defined before rollout.
An intake operation handles varied document packets and spends time resolving incomplete or uncertain information.
A Hyland IDP pilot could assess representative documents, configure classification and extraction, and connect human validation with a downstream workflow.
Measure field-level quality, review effort, exceptions and processing time on the agreed test set.
This scenario describes a potential solution approach. It is not a claim of a completed customer engagement or achieved results.
From platform choices to delivery scope, start with the information that matters to your team.
An implementation defines document intake, separation, classification, extraction, validation, human review and downstream integration. TechTiera also establishes pilot evaluation, exception ownership and production monitoring for the agreed use case.
Accuracy depends on document quality, formats, field definitions and business variation. We establish a representative test set and agree measures during a pilot. Performance claims should come from those results, with field-level and document-level measures clearly distinguished.
Human review is designed for uncertain values, missing information, exceptions and business decisions that require approval. Queue ownership, review rules and escalation are agreed alongside automation design.
Yes, subject to available interfaces and the integration scope. We define how approved information and documents reach the target system, how transactions are validated and how errors or retries are handled.
OCR recognizes text. IDP adds capabilities such as document separation, classification, field extraction, validation and enrichment. Business automation also requires workflow and integration so approved information can be used in an operational process.
Provide representative documents, field requirements, known exceptions, target systems, access requirements and volume patterns. Include difficult and incomplete examples so the pilot reflects operational reality rather than only clean samples.
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