AI Solutions for Business
We design and ship industry-tuned AI products, demand forecasting, fraud detection, dynamic pricing, customer-360 scoring, with a focus on the business metric the boardroom is actually measuring.
AI projects measured in P&L lift, not model accuracy.
A 0.5% AUC improvement is a research result. A 6% margin lift is a business outcome. Our approach to vertical AI starts with the P&L line you want to move and works backwards: which decisions drive that line, which models inform those decisions and which data fuels those models. Accuracy is necessary, but it is never the headline metric.
Outcome-first scoping
Every engagement starts with a written hypothesis on the P&L line we are moving. If the math does not work, we say so before we start.
Causal validation
A/B tests, holdouts and synthetic controls. We prove the lift is real, not just correlated, before celebrating.
Operating discipline
Models are products: monitored, retrained, evaluated, owned. We hand over a runbook your team can run for years.
Why vertical AI is where the moat is in 2026.
Generic AI APIs are commoditized. The defensible advantage is now in industry-tuned models built on proprietary data with measurable business outcomes.
The leaders are moving from horizontal AI tooling to vertical, P&L-tied applications. The laggards are still buying generic chatbots.
Forecasting, pricing and fraud are the three biggest AI levers in mature industries and they consistently move billion-dollar P&Ls.
Generic data-science consultants get to a notebook and stall. Vertical AI specialists ship the operating discipline that actually moves a business.
AI Solutions for Business services we offer.
Each item below is a discrete, measurable workstream we own end-to-end, with senior engineers, real timelinesand the test coverage to back it up.
Demand and inventory forecasting
Hierarchical and probabilistic forecasts at SKU-store-day granularity. 20-40% accuracy lift over your incumbent vendor, instrumented in writing.
Fraud and anomaly detection
Real-time scoring on transaction streams with graph features and unsupervised baselines. Sub-100ms decisions, false-positive rates cut in half.
Customer-360 and churn models
Unified customer features, propensity-to-churn, propensity-to-buy and lifetime-value, all with causal-uplift validation, not just AUC scores.
Dynamic pricing and promotion
Price-elasticity models with constraint solvers. Margin and volume optimized jointly, with guardrails for fairness and brand perception.
Document intelligence
OCR, layout-aware extraction and LLM verification for invoices, contracts, claims, KYC. Handle the 80% so your team focuses on the exceptions.
Recommendation systems
Two-tower retrieval, transformer rerankers and bandits for exploration. Tuned to revenue and engagement, not vanity click-through rates.
We're fluent in your stack.
Vendor-agnostic by design. We pick the right tool for the problem in front of us, not the one our partner discounts apply to.
Real engagements. Real numbers.
Lifted gross margin 6.2% via dynamic pricing
Replaced a rule-based pricing engine with a price-elasticity model and constraint solver. Same volume, materially better margin, audited end-to-end.
Six reasons enterprises run AI Solutions for Business with Infivit.
Built for the 2026 reality of AI Solutions for Business: the actual buyer pain, the actual technical constraints and the actual outcomes that matter, not generic data buzzwords.
Engagements scoped against a P&L line.
Forecast accuracy is a means, not the end. Every project starts with the revenue, margin or cost number we are committing to move, written into the SOW.
20-40% better than generic vendors.
Domain-specific feature engineering, hierarchical structure and seasonality handling consistently outperform off-the-shelf vendor models on real-world data.
A/B and uplift validation, every release.
We measure causal impact on the P&L line, not just model accuracy. Stat-significant lift before any model gets the green light to scale.
Sub-100ms scoring at production scale.
Fraud, pricing and personalization run inline with user actions. Decisions made at the speed of the user, never at the speed of yesterday's batch.
Model cards, SHAP and bias audits, default.
Every model ships with a one-page model card, explainability artifacts and bias review. Auditors and regulators get answers, not deflection.
Owned, monitored, retrained, year after year.
We hand over a runbook your team runs for years. Drift detectors, retraining triggers and on-call rotations included, not a one-shot consulting deck.
The questions you were already going to ask.
Got a ai solutions for business problem?
Let's ship the fix.
A 30-minute call with one of our senior engineers, no slideware, no scoping doc. You leave with a concrete view of what the first 30 days look like.