ANJANA AI SOLUTIONS

Put AI to work.
With purpose and control.

Connect your knowledge, applications and workflows with generative and agentic AI—built around the way your business works.

From the first use-case workshop to a supported release, Anjana Cloud9 helps you plan, build and evaluate AI with clear data boundaries and human oversight.

Generative AIKnowledge assistantsAgentic workflows
YOUR BUSINESS. CONNECTED INTELLIGENCE.
Business knowledge, AI reasoning and approved actions connected through a governed workflowKnowledgeApplicationsApprovalsActionsAI
Access controlsHuman reviewEvaluation

Designed around your data, permissions and operating responsibilities.

Business-led discoveryCloud engineering expertiseSecurity from the startClear operational ownership

WHAT WE CAN BUILD TOGETHER

Practical AI capabilities.
Connected to your business.

Start with one workflow, validate the value, and expand with an architecture your team can understand and operate.

AI strategy & discovery

Choose a useful starting point before committing to a large build.

  • Use-case prioritisation
  • Data and integration review
  • Success measures and delivery scope
Discuss this capability

Enterprise knowledge assistants

Help teams find relevant information across approved business sources.

  • Retrieval-augmented generation (RAG)
  • Source references and access boundaries
  • Answer-quality evaluation
Discuss this capability

Agentic workflows

Connect AI reasoning with carefully scoped actions and human approvals.

  • Planner and specialist agents
  • Tool and application integrations
  • Approval, exception and recovery paths
Discuss this capability

Document intelligence

Turn business documents into structured information your teams can review.

  • Classification and extraction
  • Validation and review queues
  • Integration with business workflows
Discuss this capability

AI-assisted software delivery

Support engineers through requirements, implementation and release activities.

  • Requirements and architecture assistance
  • Code and test support
  • Delivery and security workflow integration
Discuss this capability

AI governance & operations

Define how the solution is evaluated, protected and maintained.

  • Role-based access and data controls
  • Quality, latency and usage monitoring
  • Release evaluation and cost reviews
Discuss this capability

START WITH THE WORK

Where could AI help your team?

The best starting point is a repeated task with usable data, a clear owner and an outcome you can measure. We help assess feasibility before selecting models or tools.

Find your starting point →

Find trusted answers

Search policies, product documentation and internal knowledge with source references and permission-aware retrieval.

Reduce document handling

Extract and organise information from documents, with validation rules and review for uncertain results.

Coordinate everyday workflows

Prepare summaries, route requests and assist with business actions through defined approvals.

Support engineering teams

Assist with user stories, technical documentation, code review and release preparation.

A CLEAR TECHNICAL FOUNDATION

Connect intelligence.
Keep responsibility clear.

Each layer has a defined role: the interface people use, the workflows that coordinate actions, the knowledge they can access, and the services that power the experience.

Authentication, permissions, evaluation and monitoring span the solution. The final architecture depends on your data, cloud environment and integration needs.

Experience

Business applications, assistants and review screens

Orchestration

Retrieval, agent tools, workflow steps and approvals

Knowledge

Approved documents, enterprise data and search indexes

Models & cloud

Model access, application hosting and integrations

Governance & operations

Identity, guardrails, evaluations, logs and cost controls

CLOUD EXPERIENCE, APPLIED TO AI

Built for your cloud environment.

We assess the platform alongside your existing investments, data location, access requirements and operating model.

AWS

Generative AI on AWS

Plan model access, retrieval and application workflows using suitable AWS services. Integrate identity, encryption, monitoring and consumption controls into the design.

Amazon Bedrock can form part of the solution where it fits the use case and service requirements.

Explore our AWS expertise →
MICROSOFT

AI within your Microsoft environment

Assess AI opportunities alongside your Azure applications, Microsoft 365 environment and business integrations. Review permissions, information readiness and licensing before implementation.

The scope and required Microsoft services are agreed during discovery.

Explore Microsoft services →

FROM IDEA TO OPERATION

A measured path to production.

  1. 01

    Discover

    Agree on the workflow, users, data access, baseline and success criteria.

  2. 02

    Prototype

    Build a focused version and test representative scenarios with your team.

  3. 03

    Validate & release

    Review quality, safeguards, failure handling and operational readiness before rollout.

  4. 04

    Operate & improve

    Monitor agreed measures, manage changes and refine the solution with user feedback.

ANJANA IN PRACTICE

Kodefast.
AI across the software lifecycle.

Developed by Anjana, Kodefast brings AI assistance into requirements, architecture, development, DevOps and security workflows.

Its planner and specialist agents connect with engineering tools, while role-based access, audit trails and human review support controlled delivery.

Talk to us about Kodefast →
Requirements & user stories
Architecture & impact analysis
Code & test assistance
CI/CD & release workflows
Security checks & review
Audit trails & visibility

BEFORE WE BEGIN

Your AI project, explained.

Do we need to know exactly which AI solution we want?

No. Start with the business task, current process and desired improvement. Discovery helps define a focused use case and assess whether AI is appropriate.

Can AI use our internal business information?

Where suitable, retrieval can provide relevant context from approved sources. We review data permissions, retention, source quality and the selected provider’s data-handling terms before agreeing on the design.

How do you manage unreliable answers or actions?

We plan representative evaluations, source references where appropriate, scoped tool permissions and human approvals. Escalation and fallback paths are defined for uncertain or failed results.

Can you work with our existing AWS or Microsoft environment?

We assess your cloud services, applications and identity setup before recommending an integration approach. Required access, platform services and licensing are agreed during scoping.

How are timelines and costs determined?

They depend on data readiness, integration complexity, evaluation requirements, cloud usage and the support scope. We start with an agreed discovery or prototype scope and review findings before expanding.

LET’S FIND YOUR NEXT STEP

One useful workflow.
A clear plan to move forward.

Tell us where your team spends time and what you would like to improve. We’ll help you assess a practical starting point.

Start an AI conversation →

LET’S TALK

Tell us what your business needs.

Discuss an AI use case, knowledge assistant, document workflow or application integration with our team.

Choose your requirement and share a little about your environment so our team can respond to your enquiry.

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