Enterprise AI · Data · Automation

Put AI to work on a problem worth solving.

From knowledge assistance and document handling to workflow automation and predictive insight, we help turn AI opportunities into tested, integrated capabilities. Our work spans assessment, implementation, production deployment and ongoing support.

Illustrative connected enterprise information and intelligence layers

Where we can help

What we design, deploy and support.

Knowledge assistants

Help employees find and use approved knowledge, with source references and access aligned to their role.

  • Connect selected documents and knowledge sources
  • Evaluate answer relevance, grounding and permissions
  • Provide escalation when evidence is incomplete

Document processing

Turn incoming documents into structured information that people and business systems can use.

  • Extract and classify agreed fields and document types
  • Route low-confidence or material exceptions to reviewers
  • Integrate validated outputs with the receiving workflow

Workflow automation

Reduce repetitive coordination and manual handling across enterprise processes.

  • Define permitted actions and system integrations
  • Keep approval for consequential decisions with people
  • Test exceptions, audit records and recovery paths

Predictive analytics

Use relevant history and operating context to support forecasts and prioritisation.

  • Agree the decision, baseline and usable data
  • Test performance on representative unseen examples
  • Explain limits and monitor changes in accuracy

Production deployment

Move a validated use case into the systems and working practices that will sustain it.

  • Integrate identity, access and operational controls
  • Test performance, reliability and operating cost
  • Prepare release, rollback and support arrangements

Ongoing support

Keep deployed AI useful as information, models and business needs change.

  • Monitor quality, usage, exceptions and cost
  • Manage incidents and evaluate proposed changes
  • Maintain accountable ownership and an improvement backlog

Deliverables

What we deliver.

We agree the deliverables and responsibilities for your engagement before work begins.

01

An agreed use-case brief

The user task, expected benefit, baseline, data sources and boundaries of the proposed system.

02

Evaluation evidence

Representative tests, acceptance measures, error analysis and a clear proceed, revise or stop recommendation.

03

An integrated workflow

A solution connected to the relevant information, systems, permissions and human decisions.

04

Deployment and support arrangements

Named ownership, monitoring, escalation, update and support arrangements agreed for the deployment.

Illustrative workflow · Not a client case study

From a document inbox to a reviewed business record.

A service team receives requests in different document formats. An AI-assisted workflow extracts the agreed information, flags missing fields and presents a draft record for review. The reviewer resolves exceptions before an approved integration updates the business system.

Hastha can design the workflow, connect the sources and systems, evaluate extraction quality and implement the operating controls. Measure time per request and correction rates against the current process—not just whether the model produces an answer.

ReceiveApproved documents and a defined task
ExtractStructured fields with validation and source context
ReviewA person resolves exceptions and authorises the next action
Integrate & learnUpdate the record and review quality, time and cost

Start with the task, not the model

Define the task before choosing the technology.

Use the worksheet to describe the task, intended users, available information and desired result. We help assess feasibility, testing needs, integration and ongoing operating costs.

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Find the right starting point for AI.

We help identify a useful task, assess the available information and plan how to test, deploy and support the solution.

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