TL;DR
We help teams ship AI— from strategy to working models. Predict who will respond, when to follow up, what to recommend, and where to automate.
See examples: explore our AI & ML case studies or learn why AI & ML matter.
Every business is different—so is our approach.
We don’t do one-size-fits-all. We align on outcomes, then build models that fit the workflow where decisions happen.
Intro: outcomes, case studies, and what we build.
It’s not about building everything. It’s about building the right thing. We remove ornament, prefer clarity, and design models that feel inevitable—simple, elegant, and useful.
Small, confident steps—discovery, prototype, pilot—each removing doubt until the result feels obvious.
1–2 weeks
Discovery reveals constraints. The biggest wins usually surface in data access and decision timing, not model choice.
2–6 weeks
Prototype fast, measure sooner. We validate with offline backtests and lightweight A/Bs.
4–8 weeks
Pilot what ships. MLOps, APIs, and guardrails are part of the pilot so success scales beyond a demo.
Integration beats novelty.
Models are successful when decisions become simpler and results compound. We measure business lift first.
Value is the point.
Retail, healthcare, finance, logistics. The patterns differ; the principles do not. Shorten the loop between signal and action, and the system gets smarter with every decision.
See how this plays out in practice in our AI & ML case studies.
We focus on outcomes, integration, and measurable lift. Build the right thing. Ship value early. Measure what matters.
Propensity scoring · churn risk · demand forecasting
We identify the 20% of features that drive most of the lift and deploy where decisions happen.
Classification · routing · summarization · RAG
Small, precise datasets often outperform massive generic corpora.
Detection · OCR · defect spotting · quality checks
We use augmentation and semi-supervised learning to reduce labeling time and cost.
APIs · data pipelines · guardrails · MLOps
A 2% ROC lift is less valuable than reliable insights integrated into the workflow.
Next step
Email info@taliferro.com or call 425.381.9986 to scope a 1–2 week discovery.
Animated Taliferro Group logo video, introducing AI & Machine Learning case studies and outcomes.
Use AI consulting for strategy, use-case discovery, and rapid prototypes. Choose Machine Learning consulting when you’re building predictive models (classification, regression, NLP, computer vision) and integrating them into workflows.
Discovery 1–2 weeks, prototype 2–6 weeks, pilot 4–8 weeks, depending on data quality and integration scope.
Yes. We start with what you have—CRM/email events, product usage, tickets, spreadsheets—and iterate. Perfect data isn’t required to begin.
Business outcomes first: reply rate, retention, conversion, hours saved. Model metrics (AUC, MAE) guide quality, but decisions focus on ROI.
Browse our AI & ML case studies and read why AI & ML matter.
Email info@taliferro.com or call 425.381.9986. We’ll align on outcomes, data access, and a fast path to a working prototype.