Real-time financial and management reporting
Building data pipelines and model layers that feed dashboards, packs, and regulatory templates with up-to-date numbers—so leadership doesn’t have to wait weeks for a view of performance or risk.
Auditability, controls, and governance for AI in finance
Designing workflows with clear approvals, versioning, and traceability—so every AI-generated output can be tied back to its data sources, logic, and human reviewer.
We work across tax, controllership, and deal advisory to reduce manual effort, improve quality, and unlock real-time insight.
Transforming financial operations with agentic AI and trusted data
Shorthills AI helps finance, tax, and M&A teams move away from spreadsheet-heavy, manual workflows to AI-assisted operations that are faster, more accurate, and easier to audit. We build secure data platforms that bring together transactions, ledgers, spreadsheets, client data, and market feeds into a single, trusted backbone. On top of this, we add agentic AI workflows that extract data, classify transactions, generate reports, and answer complex questions in minutes instead of weeks.
Whether you’re a Big 4 firm, an in-house finance function, or an M&A advisory team, we help you scale your work without scaling headcount—while keeping human experts firmly in control of the final decisions.
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.
M&A analytics, valuation, and impact reporting
Unifying data from thousands of entities or assets into a “golden dataset,” then layering ML models and report generators that support deal screening, valuation, portfolio monitoring, and impact reports on demand.
Our Focus Areas in Finance
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
Finance & Accounting Challenges We See Most Often
Finance functions are expected to be both vigilant and fast—but are usually held back by fragmented systems and spreadsheet-driven processes.
Labor-intensive spreadsheet work and data entry
Teams spend weeks copying, cleaning, and reconciling numbers across multi-sheet workbooks and systems, leaving little time for analysis and review.
Error-prone calculations and inconsistent models
Manual formulas, version drift, and one-off models increase the risk of misstatements, especially when multiple teams maintain their own logic.
Massive transaction volumes with evolving tax and policy rules
Classifying millions of line items against changing rules is hard to scale, creating backlogs, overtime, and growing compliance risk.
Slow, backward-looking reporting cycles
By the time reports are consolidated and checked, the data is often out of date—limiting the value of insights for business leaders and clients.
Scattered data across ERPs, spreadsheets, and point tools
Key numbers, assumptions, and documentation live in many places, making it hard to trace a figure back to its source or explain it to auditors and stakeholders.
Deal and portfolio teams stuck in manual research & report drafting
Analysts spend days pulling data from multiple sources, building valuation models, and drafting impact or diligence reports by hand—slowing deal cycles and limiting coverage.
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.
Turning Finance’s Biggest Challenges into Opportunities
With the right data foundation and agentic AI workflows, finance teams can spend less time assembling numbers and more time using them.
From spreadsheet drudgery to orchestrated agentic workflows
We build workflows where a “root” AI agent coordinates sub-agents to extract data from spreadsheets, validate it, calculate metrics, and hand analysts a ready-to-review pack—cutting cycle times from weeks to hours.
From manual tax review to scalable transaction analysis
GenAI-powered engines read short, messy transaction descriptions, infer business context, apply current tax rules, and surface exceptions for human review—handling volume while improving consistency.
From stale numbers to near real-time financial insight
Modern data pipelines continuously ingest and standardize financial data, feeding dashboards and reports so leaders can see positions, variances, and risks as they change—not just at month-end.
From fragmented deal data to a single “golden dataset”
We unify data from multiple sources—spreadsheets, internal systems, and market feeds—into one governed store that powers valuation models, M&A intelligence platforms, and automated impact reports.
From blank-page drafting to AI-assisted reports and memos
Agentic systems turn curated data and templates into first-draft tax memos, financial summaries, and M&A reports, which experts then refine—preserving judgment while removing repetitive work.
From opaque processes to transparent, auditable automation
Every AI step—data source, prompt, rule, and approval—is logged and traceable. That means you can show auditors and regulators exactly how a figure was produced and who signed off, turning AI into a controlled asset rather than a risk.
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
Frequently asked questions
Agentic workflows for financial data extraction & consolidation
Automating the extraction of numbers from multi-sheet spreadsheets and workbooks, reconciling them, and computing key metrics—so analysts get clean, consolidated data sets ready for review and reporting.
Agentic co-pilots for finance and tax teams
Deploying AI co-pilots that understand natural-language questions, fetch validated numbers and documents, and draft working papers, memos, and schedules for experts to refine.
High-volume transaction classification for tax & compliance
Using GenAI and rules engines to classify millions of transactions from cryptic descriptions, apply current tax rules, and flag exceptions—turning an unscalable manual process into a governed, repeatable flow.