AI consulting company for US businesses

An AI consulting engagement with Agility delivers production AI systems, not slide decks or strategy reports. The engagement begins with a data and process assessment (week 1), moves to model development and integration (weeks 2 to 5), and closes with a deployed, monitored system in your production environment (weeks 6 to 8). Deliverables include the trained model, API integration layer, monitoring dashboards, and internal team handoff documentation. Agility has completed 200+ US engagements across finance, healthcare, retail, and manufacturing. Each delivered a measurable operational outcome: fraud reduction, claims processing speed, demand forecasting accuracy, or customer service deflection rate.

AI consulting costs for US businesses typically range from $30,000 to $250,000 depending on scope and complexity. A single-model MVP, for example a customer churn prediction model or a document classification pipeline, runs $30,000 to $80,000 and takes 4 to 8 weeks. A multi-system AI deployment integrating with your CRM, ERP, or core business platform runs $80,000 to $200,000 and takes 8 to 16 weeks. Enterprise AI programs with multiple use cases and an ongoing managed services component are scoped at $200,000 and above annually. Agility pricing is 40 to 60% below equivalent engagements with US-based Big 4 consulting firms while maintaining senior engineering talent with 5+ years of production AI experience.

Yes. Agility operates under signed BAAs for all US healthcare clients requiring HIPAA compliance. Data handling follows strict access controls, encryption at rest and in transit, and audit logging. For financial services clients, Agility data handling is aligned with SOC 2 Type II requirements including security, availability, and confidentiality controls. All engineers on US client projects sign NDAs before project commencement. Data is not retained after project completion. For regulated industries (healthcare, finance, insurance), Agility conducts a compliance review as the first step of every engagement to confirm the AI implementation design meets all applicable regulatory requirements before any data is accessed.

Agility delivers senior AI engineering talent at 40 to 60% lower cost than US-based consultancies while maintaining equivalent technical depth. Key differences: Agility deploys production AI in 3 to 8 weeks versus 3 to 6 months for traditional consulting firms that front-load strategy and design phases. All Agility engineers have 5+ years of production ML experience, with no junior analysts on client projects. US timezone overlap (4 to 6 hours daily for real-time collaboration) with project managers based in EST/PST. Agility focuses exclusively on AI and ML, not a generalist IT firm offering AI as one of 50 practice areas. The comparison that comes up most often from US clients who have previously worked with McKinsey, Deloitte, or Accenture on AI: Agility builds faster and costs less, though for large organizational change programs a big firm change management bench may be relevant.

Agility has the deepest US delivery experience in financial services (fraud detection, credit risk, customer analytics), healthcare (clinical NLP, prior authorization automation, revenue cycle), retail and e-commerce (demand forecasting, recommendation engines, inventory optimization), and manufacturing (predictive maintenance, quality inspection, supply chain optimization). Secondary depth in insurance (claims automation, underwriting AI), logistics (route optimization, demand sensing), and technology companies building AI-native products (LLM integration, RAG systems, AI agents). All US engagements are managed by a US-based account manager with the engineering team operating across overlapping time zones.

Yes. Agility works as a fully remote AI consulting partner for US clients in every time zone, from New York, Boston and Miami to Chicago, Austin, Denver, Seattle and San Francisco. A US-based account manager runs each engagement, senior engineers overlap 4 to 6 hours with your working day for stand-ups and demos, and everything (code, documentation and model handover) is delivered in English. Remote delivery is exactly what keeps our pricing 40 to 60 percent below on-site US consultancies without giving up senior talent or day-to-day responsiveness. Most clients never need an on-site consultant to reach production.

Yes. Fintechs and venture-backed startups are among the fastest-moving US clients we serve. We build and ship production AI (fraud and anomaly detection, KYC and document automation, RAG copilots over policy and product data, and LLM features on the latest GPT, Claude or Gemini models) in 3 to 8 weeks, working inside your own cloud tenancy with SOC 2 aligned controls. As a remote implementation partner we plug into your existing engineering team rather than replacing it, so you keep ownership of the roadmap while we add senior AI capacity on demand and hand everything over documented.

An AI automation consultant maps the repetitive, high-volume workflows in your business (claims, reconciliation, onboarding, reporting, support triage) and replaces the manual effort with governed automation. At Agility that means Power Automate and custom Python pipelines, LLM-driven document extraction and classification, and agentic workflows that hand off to a human when confidence is low. Every action is logged in a full audit trail, so finance, compliance and internal audit can review exactly what the system did and why. The goal is measurable hours saved this quarter, not a multi-year transformation program.