GenAI agent assist for human support teams
We build agent assist tools that sit inside your existing consoles, letting agents ask natural language questions and instantly pull answers from plans, policies, FAQs, and account data—so they respond faster and more consistently.
Powering faster, more consistent customer experiences with Generative AI
Shorthills AI helps customer-first brands turn every interaction—across chat, voice, email, and apps—into a faster, more accurate, and more satisfying experience. We build GenAI copilots and chat platforms that sit on top of your existing systems and knowledge bases, so agents and customers get the right answer the first time, without hopping across tools or waiting on manual lookup.
From high-volume content and entertainment platforms to global customer experience providers, we’ve delivered multi-intent chatbots, agent assist copilots, and reusable bot cores that understand real customer language, handle complex requests in one conversation, and keep humans in control wherever it matters. The result: lower handling time, fewer escalations, and a more reliable experience for your customers.
Powering smarter, faster healthcare with Generative AI and a centralized data hub
Shorthills AI helps healthcare organizations turn complex clinical, genetic, and insurance data into clear, decision-ready insight—without adding more burden on clinicians or staff. We build centralized data hubs that bring together Electronic Health Records (EHR), claims, lab reports, and genetic information into one trusted foundation, then layer GenAI tools on top to reduce manual work, improve accuracy, and speed up critical workflows.
Whether you’re digitizing genetic workflows, improving patient intake, or modernizing a country-wide healthcare and insurance platform, we help you move faster with secure, governed AI built for real-world healthcare—where safety, privacy, and compassion matter as much as speed.
Turning Customer Experience’s Biggest Challenges into Opportunities
With a strong data and knowledge foundation plus GenAI, customer support can move from reactive firefighting to proactive, always-on service.
From scattered knowledge to a unified answer layer
We connect internal databases, CRMs, billing systems, and public FAQs into a single, governed knowledge layer—so agents and bots can pull accurate, up-to-date answers from one place.
From slow, variable replies to fast, guided resolutions
GenAI copilots draft responses, summarize account history, and suggest next steps, while agents review and send—cutting response times and making every reply consistent with your playbooks.
From basic bots to multi-intent, human-like conversations
We deploy LLM-powered engines that can unpack several requests in one message, handle follow-up questions, and only hand off to humans when needed—reducing escalations and repeat contacts.
From one-off bots to a reusable CX platform
Instead of rebuilding from scratch, we create a shared intent–entity core and integration layer. New products, geographies, or support flows plug into this foundation, speeding up launch and keeping behavior consistent.
From opaque answers to transparent, compliant responses
Our RAG solutions always cite the underlying article or policy. That means agents and auditors can see exactly where an answer came from, and you can update content once to fix it everywhere.
From guesswork to data-driven CX and journey design
We turn interaction, satisfaction, and marketing data into clear dashboards and simulations—showing which channels, messages, and flows lift CSAT, reduce cost per contact, and drive long-term value.
Our Focus Areas in Customer Experience
Reusable intent–entity engines across products and brands
We create a universal bot core that understands what users want (intent) and the details that matter (entities), and then routes to the right backend or knowledge source. New use cases or business units can plug into this core instead of building bots from scratch every time.
Smart, multi-intent self-service chatbots
We design and train chatbots that can understand multiple intents in a single query, break them into tasks, and handle them end-to-end—so customers can say what they really mean instead of being forced into rigid menus.
RAG-based knowledge and policy assistants
We build Retrieval-Augmented Generation (RAG) layers on top of your help center, product docs, and policy content, so AI answers always anchor back to approved sources—with citations and guardrails for compliance.
Customer operations analytics and quality insights
We connect interaction logs, satisfaction scores, and operational metrics into a single view, helping CX leaders see which intents drive volume, where customers drop off, and which flows need redesign.
Marketing mix and journey performance intelligence
For teams that own both CX and growth, we build media mix and channel analytics that show how campaigns, channels, and touchpoints drive conversions and revenue—helping you design journeys that feel better and perform better.
Omnichannel data backbone & real-time analytics
Unifying e-commerce, POS, inventory, and marketing data into a governed lakehouse on platforms like Azure Databricks—so leaders get real-time visibility into sales, margins, and stock across channels, stores, and regions.
Customer 360 and AI-driven personalization
We combine what customers do, what they buy, and how they interact into one complete customer profile, then using GenAI and ML to power smarter segmentation, recommendations, next-best-offer journeys, and retention programs.
Demand forecasting, inventory & assortment optimization
Using machine learning on historical sales, promotions, seasonality, and external signals to forecast demand, optimize inventory levels, and fine-tune assortments—reducing stockouts, overstock, and margin leakage.
Pricing & promotion intelligence
We analyze sales and market signals to find the best prices and promotion plans across channels — helping teams protect margins while staying competitive and quick to respond to market changes.
Store performance & operational intelligence
We pull together sales, staffing, and operations data to show store-level insights — like productivity, conversion rates, and losses. AI assistants and dashboards help managers spot problems early and fix them fast.
GenAI copilots for retail teams
Building secure, domain-tuned GenAI copilots that sit on top of your governed data—helping planners, marketers, and operations teams query data in natural language, generate insights, and automate routine analysis and reporting.
Our Focus Areas in Retail
Unified clinical, claims, and operational data hub
Bringing together EHR feeds, ADT messages, claims, and legacy data into a single, trusted platform—so providers and administrators see the full patient journey instead of piecing it together from multiple systems.
Risk scoring, cost-of-care, and population health analytics
Clean, unified data powers models that estimate care costs, identify high-risk patients, and support value-based care — reducing readmissions and insurance costs.
Genetic pedigree digitization and rare-disease workflows
Turning hand-drawn pedigree charts into structured, editable digital records and building tools that make it easier to capture, store, and reuse genetic family history at scale.
Patient intake and family history automation
Using guided chatbots and AI forms to collect family and medical history ahead of appointments, so consultations focus on decision-making instead of basic data capture.
Medical evidence synthesis and patient-friendly guides
Applying LLMs to trusted medical literature to draft accurate, sensitive, patient-friendly guides—helping teams move from months of manual reading to minutes per first draft, while keeping experts in the loop.
Security, privacy, and governance for healthcare AI
Designing solutions that respect HIPAA, GDPR, and local data rules—from encryption and access controls to on-prem or client-controlled hosting—so sensitive health data stays protected end-to-end.
Our Focus Areas in Retail
Customer Experience Challenges We See Most Often
Most customer-facing teams already care deeply about service—they’re just blocked by scattered systems, slow processes, and bots that don’t really understand users.
Fragmented information across tools and teams
Plan details, policies, and account data live in different systems. Agents and bots must jump between tools, leading to long handle times and incomplete answers.
Slow, inconsistent responses that frustrate customers
Without a single place to search and clear guidance on what to say, two agents can give two different answers to the same question—hurting trust and customer satisfaction.
Limited, menu-driven chatbots that handle only simple queries
Legacy bots usually understand just one intent at a time and break when customers ask for more than one thing—forcing handoffs to human support and creating more work.
High cost and slow rollout of new bot use cases
Every new business line or geography often means a new bot project—new training data, new flows, and new integrations—making it hard to scale conversational experiences.
Hard-to-trace answers and compliance risks
When bots or agents paraphrase policies from memory or from outdated documents, it’s difficult to prove where an answer came from or ensure it follows current rules.
Limited visibility into what really drives CSAT and deflection
Data on queries, resolutions, channel performance, and marketing efforts is scattered, so CX leaders struggle to see which changes actually improve satisfaction and reduce workload.
Frequently asked questions
Turning Retail’s Biggest Challenges into Opportunities
Retailers that win see what’s happening now and act fast. Shorthills AI turns fragmented systems and slow reports into a real-time, AI-ready retail backbone.
From batch reports to real-time insight
We replace slow, on-prem reporting with cloud-native streaming, enabling sales, returns, and inventory to have one real-time view.
From siloed data to a true 360° view
We connect web, POS, loyalty, and marketing data into one model for clear customer and product visibility.
From ad-hoc analytics to ML-ready foundations
We build clean, trusted datasets that power dashboards and AI use cases like churn, recommendations, and demand forecasting.
From manual effort to AI-assisted decisions
We add secure GenAI assistants so teams can ask questions in plain English and get instant, actionable answers.
From risky transformation to governed modernization
We use proven methods, encryption, and access controls to modernize data safely and get you ready for the next wave of AI.
Related Case Studies
We work with CX, support, and digital teams to reduce effort, shorten wait times, and make every interaction smarter.