Juris AICraft

What is Juris AICraft?

Juris AICraft is an Agentic AI platform that integrates diverse AI capabilities to deliver tailored solutions for your evolving business needs. Each AI technology operates as independent modules, collaborating like specialised agents to solve complex business challenges.

AICraft’s advanced system transcends the capabilities of traditional AI models, offering a sophisticated integration of multiple Large Language Models (LLMs) that operate both locally and via cloud-based platforms.

Juris AICraft’s versatile agents can perform a wide range of tasks and automate various functions across different domains within an organisation. Unlike traditional AI systems that rely primarily on structured data, these intelligent agents leverage generative AI to process and analyse unstructured data, significantly expanding their capabilities and applicability.

Why Juris AICraft?

Comprehensive AI Ecosystem

Offers a fully integrated suite of AI tools designed to enhance every aspect of your business operations. From predictive analytics and machine learning to natural language processing and generative AI, our ecosystem empowers your team to make smarter decisions, streamline processes, and deliver personalised customer experiences. Leverage the power of AI across your organisation with a single, cohesive platform.

Scalable and Flexible

Designed with growth in mind, Juris AICraft easily scales to meet the evolving needs of your business. Whether you’re managing a small operation or a global enterprise, our solution adapts to your changing demands without compromising performance. Enjoy the flexibility to expand your AI capabilities, integrate new data sources, and deploy advanced models, all while maintaining optimal efficiency.

Personalised and Adaptable

Every business has its own distinct needs, and our Agentic AI platform is designed to accommodate them. With a focus on personalisation, you can customise the platform to align with your unique business goals and operational workflows. Adapt the AI models, interfaces, and processes to create a tailored solution that fits your organisation perfectly. Empower your team with tools that evolve alongside your business, ensuring you remain agile and competitive in a dynamic market.

Customise your own AI platform

Generative AI

Generate text, images, and other media, enabling you to automate multiple tasks.

Robotic Process Automation (RPA)

RPA agents can handle tasks such as data entry, transaction processing, and compliance checks with high accuracy and efficiency.

Natural Language Processing (NLP)

Process unstructured data from documents, emails, and other text sources to extract valuable insights.

Machine Learning Models

Analyse historical data to forecast trends, identify risks, and suggest optimal strategies.

Translation models

Enables accurate and context-aware translation of documents, communications, and other text-based content.

Chatbots and Virtual Assistants

Assists with tasks such as answering FAQs, guiding users through processes, and providing real-time support.

AI Use Cases for the Financial Industry

Pre-qualifying Agent

Challenge

Overwhelming volumes of financial data, time-consuming manual analysis, inconsistent data quality, difficulty extracting meaningful insights, and the challenge of keeping pace with rapidly changing market conditions.

Solution

Pre-Qualifying Agent is your intelligent companion, providing real-time market insights and personalised recommendations.

Real-time market analysis and trend identification.
Generation of actionable insights.
Intuitive interaction through natural language queries.

Outcome

Save time on market research and analysis.
Increase confidence in identifying potential risks and opportunities with data-driven insights.
Potentially Improve investment returns.
Efficiently summarize lengthy financial reports, annual reports, and other documents, saving RMs time and effort.

Policy Compliance Agent

Challenge

Navigating ESG regulations and engaging with stakeholders can be time-consuming and complex.

Solution

Our Policy Compliance Agent provides instant access to ESG information and simplifies compliance efforts.

Real-time access to ESG policies and regulations
Personalised ESG guidance
Stakeholder Q&A and engagement platform

Outcome

Reduce the risk of non-compliance
Improve ESG reporting efficiency
Enhance stakeholder relationships through transparent communication
Answer employee questions about ESG initiatives
Generate ESG reports
Provide ESG updates to investors

ESG Reporting Agent

Challenge

Creating ESG annual reports is time-consuming, complex, and requires extensive data analysis.

Solution

Our AI-powered solution automates ESG report generation, ensuring accuracy and compliance.

Data extraction and cleaning
ESG materiality assessment
Automated report generation (including charts, graphs, and narratives)
Compliance checks against reporting standards

Outcome

Save time and resources on report preparation
Improve data accuracy and consistency
Generate actionable insights from ESG data
Identify material ESG risks and opportunities

AI Credit Paper

Challenge

Manual credit paper processing is time-consuming, error-prone, and hinders customer satisfaction.

RMs spends an average of 18+ hours assessing a prospect
50% of their time are spent on data entry & research

Solution

AI Credit Paper automates the credit assessment process, significantly reducing processing time, improving accuracy and faster data-driven decisions.

Outcome

Up to 70% faster loan processing
Reducing human-errors
Improves loan approval rates
Enhances customer satisfaction through faster turnaround times

AI Financial Spreading

Challenges

Manual extraction and spreading of financial data is time-consuming.
High potential for human errors and inconsistent data interpretation.
Delays in credit decision-making due to inefficiencies.

Solution

Our AI Financial Spreading agent automates the extraction, interpretation, and normalisation of financial data.

Automatically extracts data from financial documents.
Standardises and spreads data into a consistent format.
Leverages NLP to identify key financial metrics.

Outcome

Reduces data processing time.
Minimises errors and improves data consistency.
Accelerates credit assessments for quicker decision-making.

AI Best Offer

Challenges

Identifying the best financial product for each customer is complex.
Traditional methods may not consider all relevant factors.
Slow processes can lead to missed opportunities.

Solution

Our AI Best Offer agent personalises financial product recommendations using advanced data analysis.

Analyses customer profiles, credit history, and market trends.
Predicts future needs and optimises offers for both customer and bank.
Provides personalised recommendations in real-time.

Outcome

Increases conversion rates.
Enhances customer satisfaction with tailored offers.
Builds stronger customer relationships.

Query Agent

Challenge

Banks face significant challenges in managing vast amounts of transactional and financial data, which require timely and accurate reporting to comply with regulatory requirements, optimize operations, and make informed strategic decisions.

Solution

Our AI bot automates SQL queries and generates reports, providing advanced analytics and supporting data-driven decision-making.

Automates SQL query execution via conversations
Generates comprehensive reports
Provides advanced analytics and forecasting
Provides a full view of data available

Outcome

Generate actionable insights for better decision-making
Quick report generation
No technical knowledge required

AI Financial Coach

Challenge

Customers often struggle with financial planning and understanding complex financial products.
Inconsistent financial advice can lead to poor decision-making.
Difficulty in accessing personalised, real-time financial guidance.

Solution

Our AI Financial Coach (iMoney Bot) provides personalised, real-time financial guidance tailored to each customer’s needs and goals.

Analyses customer financial data and spending habits.
Generates personalised financial advice and action plans.
Offers real-time guidance on investments, savings, and budgeting through a user-friendly interface.

Outcome

Empower customers with tailored financial plans.
Improve financial literacy and decision-making.
Increase customer satisfaction and engagement with proactive, real-time advice.

Juris AICraft’s Enterprise Framework

AICraft’s Enterprise Framework is a robust structure designed to optimise AI implementation across various business functions. It focuses on operational excellence by ensuring the right model is used for the best outcomes, while maintaining stringent security and privacy measures through verification checks and AI guardrails. Compliance is ensured with support for multiple formats and thorough auditing of actions. The framework also emphasises observability by keeping detailed logs and monitoring infrastructure performance. Additionally, it optimises costs by carefully selecting platform infrastructure and AI models, all built on a composable architecture that allows for the creation of new use cases and supports agentic AI workflows.

Solve Your Business Challenges at E.A.S.E

Effortless Integration

Our low-code/no-code APIs ensure seamless integration with any system, offering smooth interoperability, even with 3rd-party platforms.

Agile Solutions

Our solutions are built on microservices architecture, enabling seamless customisation with various AI capabilities based on your specific business needs.

Secure AI

Our AI solutions are built to the highest standards of security and regulatory compliance, ensuring your data’s safety and your adherence to industry regulations.

Expertise

With over 20 years of pioneering AI solutions and more than 25 years of experience in the financial industry, we deliver results-driven AI solutions to your business.

FAQs

What is Juris AICraft, and who is it for?

Juris AICraft is JurisTech’s agentic AI for lending, built for banks, Islamic banks, development financial institutions, credit agencies and leasing companies. It puts specialised AI agents on the document-heavy steps of credit, turning retail and commercial applications into decision-ready assessments and vetted legal documents, with every prompt logged and every extracted field versioned.

What is agentic AI in banking, and how does Juris AICraft use it?

Agentic AI is a team of narrow specialist agents, each doing one job and handing its result to the next, in place of a single all-purpose chatbot; it is more accurate per task and easier to audit. Juris AICraft uses it across the credit journey, with agents that extract, validate, analyse, score and recommend in prescreening and vetting, under full logging and masking, with the decision left to your officer.

How is Juris AICraft different from generative AI tools?

It runs the same class of language model inside your lending process, under your controls, rather than as a stand-alone prompt box. A generic tool knows nothing of your credit policy, keeps no audit trail and sends whatever staff paste into it outside the bank; Juris AICraft is packaged as credit use cases, reads real scanned documents at scale, logs every prompt and response, versions every field, and proves new prompts before they go live.

Which LLMs does Juris AICraft use?

Juris AICraft is model agnostic, it uses cloud models from OpenAI, Anthropic, Google Gemini, Azure AI, and Local LLM Models and can connect to a self-hosted model. You choose the model for each agent and can set a backup if the first fails, so the cost, privacy and security are managed.

Which AI agents does Juris AICraft offer for credit work?

Juris AICraft offers Intelligent Document Processing, Retail Prescreening, Commercial Prescreening, Financial Spreading and Document Vetting, each a chain of agents tuned to one stage of lending. Every use case produces recommendations and evidence for your officer; the credit decision stays with your institution.

What is financial spreading, and how does Juris AICraft automate it?

Financial spreading is the commercial-credit step where an analyst re-keys a borrower’s financial statements into the bank’s standard template so ratios and trends can be compared across borrowers. Juris AICraft’s agents read audited accounts and bank statements in any layout, map the line items to your template, derive the standard figures and feed the spread into Juris Analyst or your own system, so analysts review instead of transcribe.

How does Juris AICraft keep AI controlled and auditable?

Through three guarantees that hold at every stage: nothing is hidden (every prompt, response, document and field is logged and versioned), and nothing changes without proof (policy alignment, champion-challenger prompt testing, and recommendations rather than automated verdicts). This is what lets a regulated lender put generative AI inside the credit process.

Can banks use chatbots and virtual assistants with Juris AICraft?

Yes. The Chatbot agent is configured on a knowledge base you define, follows your company policy and runs under the same logging, masking and model controls as every other agent, for internal staff assistants or customer-facing ones on a defined topic.

How does AI Best Offer in Juris AICraft help?

It turns a prescreened application into a cross-sell or upsell opportunity by matching your product catalogue and eligibility rules against the financial profile Retail Prescreening has just built. The result is a better-matched product for the customer and extra revenue from an application you were already processing, with the reasoning logged alongside the credit assessment.

How does Juris AICraft fit with our existing systems?

Juris AICraft sits behind the systems your officers already use and hands them structured results, so there is no re-keying between AICraft and your origination, spreading or document management system. Integrations with Juris Analyst, Juris Access and Juris Origination are ready built, additionally Juris AICraft can be integrated to your system with an API connection.

Can Juris AICraft read documents such as bank statements and IDs?

Juris AICraft intelligent document processing reads scanned PDFs, images and Office files in varied layouts and languages, including payslips, bank statements, IDs, statutory declarations, EPF statements, audited accounts and mortgage documents, with no templates to build.

Can we build our own AI agents in Juris AICraft?

Yes, utilising Juris AICraft, business and IT users describe a new agent’s job in plain language and place it in a drag-and-drop workflow. Each new agent inherits the platform’s logging, versioning and prompt-testing controls, and your team takes over as much of the ongoing extension as it wants.

Where can we deploy Juris AICraft, and how does it protect customer data?

Juris AICraft can be deployed either on the customer’s premises or in the cloud. It connects to external large language models (LLMs) through enterprise-grade APIs. Customer data is never used for model training or improvement, and is automatically purged once processing is complete.

How do we test and improve prompts in Juris AICraft?

Juris AICraft includes a Prompt Tuning Verifier, a champion-challenger tool that runs the production prompt and the new one against the same set of questions and documents and scores them on accuracy, relevance, coherence and user satisfaction. You promote the challenger only when the evidence shows it is better, and the comparison is logged for model governance.

How can Juris AICraft pre-screen loan applications?

Through Retail Prescreening, which verifies the applicant’s uploaded documents for ownership, recency, tampering and cross-document consistency, builds the income, spending, commitments and net disposable income picture, scores the applicant and recommends accept or reject with evidence. Weak applications are flagged before an officer opens the file, Best Offer surfaces matching products, and the decision stays with your approving authority; Commercial Prescreening does the same for company borrowers.

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