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Decision Automation
Company B had approvals piling up because every request was handled manually. Repetitive, low-risk requests sat in the queue alongside higher-stakes decisions, so everything waited on whoever was free. The team needed a way to move faster without blindly automating decisions that could be critical.
So, we implemented a decision workflow that labels and pre-processes incoming cases, then automates only repetitive, non-critical decisions. If a decision is common but still critical, it is flagged for human intervention instead of being auto-approved. Once confirmed, decisions and outputs flow through integrations into downstream systems so follow-through can continue smoothly. As a result, turnaround that used to take 3 months can be compressed into 3 days*, decision quality becomes more consistent, and leaders gain clearer visibility into what was approved, why, and what happened next.
*Figures represent indicative results and are provided for illustrative purposes only. Actual results may vary depending on each organisation’s requirements, environment, and implementation.
BEST FOR:
Any organisation making repeatable, data-driven decisions at scale, where speed and consistency matter.
Financial Services & Insurance
Healthcare & Insurance
Government & Smart Cities
Document Intelligence
Company A ran on documents, but the data they needed were messy inputs. Invoices and contracts came in as PDFs, while supporting materials included images, charts, old personal documents, fingerprints, and handwriting. Teams spent days extracting details, correcting errors, and chasing missing information, which led to delays and higher risk of missing obligations.
So, we implemented a document workflow that turns documents into structured, usable information. For example, mixed formats such as handwriting are converted into standard text, then validated through a sideby-side display with the original document. This allows for a quicker and more efficient review and correction before anything flows into downstream systems. Large document repositories with over 500k documents can also be summarised and indexed so teams can retrieve what they need faster and get specific answers without digging through files. As a result, this reduces manual work, improves search efficiency by 80–90%*, speeds up processing, and enables smarter resource allocation.
*Figures represent indicative results and are provided for illustrative purposes only. Actual results may vary depending on each organisation’s requirements, environment, and implementation.
BEST FOR:
Any departments dealing with high document volumes in mixed formats, and frequent manual extraction and validation work.
Financial Services & Insurance
Government & Smart Cities
ESG Compliance
Company C used to treat ESG as a yearly reporting exercise, and only a few teams cared enough to push it through. Then requirements tightened, and ESG reporting started showing up alongside end-of-year financial reporting. Data was scattered across regions, definitions didn’t match, and ownership was unclear. Utility bills, emissions-related records, supplier inputs, and supporting evidence lived in different places, so every reporting cycle became stressful.
So, we introduced an ESG compliance workflow that standardises monthly data capture and reporting, not just annual reporting. It collects inputs from common sources including utility and operational records, organises evidence, and flags gaps early so teams have time to fix issues before deadlines. Beyond reporting, the platform can also support ESG programs and campaigns to drive improvement over time. As a result, ESG becomes a managed operating rhythm with ~70% of the manual reporting effort reduced* through automation, and enabling stakeholders to access actionable insights and produce reports with clearer proof and confidence.
*Figures represent indicative results and are provided for illustrative purposes only. Actual results may vary depending on each organisation’s requirements, environment, and implementation.
BEST FOR:
Any small and medium enterprises that need consistent ESG reporting across regions, clearer data ownership, and audit-ready evidence on a monthly or reporting-cycle basis.
Financial Services & Insurance
Government & Smart Cities
Utilities, Energy & Transportation
Troubleshooting Agent
Company E dealt with high downtime that impacted customer satisfaction. Faults were slow to identify, service recovery dragged out, and teams relied on excessive on-site visits to diagnose issues. Frontline staff also lacked guided decision support, so tickets bounced around before the right action was taken.
So, we deployed a GenAI-powered troubleshooting workflow that classifies faults, recommends next actions, and pulls the right context from sources such as CRM, customer data, operational data, system logs, and operational SOPs and manuals. As a result, unnecessary site visits reduced by 80%*, customer satisfaction improved, downtime reduced, and cost management became more disciplined because teams could resolve issues faster with clearer guidance.
*Figures represent indicative results and are provided for illustrative purposes only. Actual results may vary depending on each organisation’s requirements, environment, and implementation.
BEST FOR:
Any departments dealing with high document volumes in mixed formats, and frequent manual extraction and validation work.
Telecommunications & Enterprises
Utilities, Energy & Transportation
Service Concierge
Company D faced long phone queues and repeated enquiries that slowed service delivery and led to delays and no-shows. At the same time, staff on the ground struggled to find the right answers quickly because information was spread across repositories, portals, and different channels. Helpdesk queues grew, and simple requests often required switching between tools to get anything done.
So, we implemented an AI service concierge that sits on top of the organisation’s own repositories and systems, and supports omnichannel access across web, mobile, and WhatsApp with multilingual capability. It answers based on internal documentation and data rather than making assumptions, and it can handle common service tasks like appointment booking and updates, eligibility checks, referrals, reminders, and digital forms. Where needed, it can also trigger downstream workflows, while maintaining quality, security, and compliance controls such as encryption and role-based access. As a result, users get faster access to help around the clock, staff spend less time searching and repeating answers, and service delivery becomes more consistent and controlled.
BEST FOR:
Any organisation with high enquiry volumes, heavy internal documentation, and multiple systems, where frontline teams and users need fast, trusted answers and simple appointment/service actions across channels.
Healthcare & Insurance
Telecommunications & Enterprises
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