Customer support automation
AI that resolves common tickets and chats in Zendesk, Intercom or your own help desk, and hands off with full context.
AI implementation · United States
AI implementation services for US businesses
From New York to San Francisco, we help American companies move AI from pilot to production: agents and assistants connected to your data, measured and ready for your security review.
Why US companies work with us
Production AI without growing a large in-house team
US businesses are under pressure to show results from AI, not just experiments. Hiring a full AI engineering team is slow and expensive, and generic tools rarely fit how your business actually runs.
AnAInfo gives you an experienced implementation team that works in your hours. We start with the use cases that save the most time or protect the most revenue, prove them on your own data, and then build them into the systems your team already uses, such as Salesforce, HubSpot, Zendesk, Microsoft 365, Google Workspace, Slack, NetSuite and your own product.
Security and legal teams are involved from the first week, so the project doesn't stall at the final review.
Use cases
AI we implement for US companies
Sales & revenue agents
Lead research, CRM updates, call summaries and first-draft proposals in Salesforce or HubSpot.
Knowledge assistants
Answers from policies, SOPs, contracts and product docs, with citations and permission-aware search.
Document AI for operations
Invoices, purchase orders, claims, loan files and onboarding forms read, checked and posted automatically.
AI features for SaaS
Copilots, summaries, natural-language search and analytics inside your product, with usage-based cost control.
Healthcare & insurance workflows
Prior authorisation packets, claims triage and clinical documentation support with HIPAA safeguards.
Rules & standards
Built for the US regulatory landscape
The US has no single AI law. Instead, federal guidance, a growing set of state laws and long-standing sector rules all apply. We design with them in mind and work alongside your counsel.
NIST AI RMF
We structure risk work around the NIST AI Risk Management Framework and its Generative AI Profile: govern, map, measure, manage.
State AI laws
Colorado's AI Act, Texas's TRAIGA, Utah's disclosure rules and NYC's bias audits for hiring tools affect many deployments. We track which apply to you.
Privacy laws
CCPA/CPRA, including California's rules on automated decision-making technology, and other state privacy laws.
HIPAA
Business associate agreements with model providers, minimum-necessary data and audit logging for health data.
SOC 2 controls
Access control, change management, logging and vendor reviews that fit your SOC 2 programme.
Financial services
Explainability and adverse-action support for credit decisions, and model risk practices familiar to banks.
How we work
From first call to production
- 01
Use-case discovery
Workshops with your team to list where AI could help, then score each idea on value, feasibility, data and risk.
- 02
Data readiness
We check the documents, databases and APIs the use case needs, and fix access, quality and privacy gaps.
- 03
Proof of concept
A working prototype on your real data within weeks, tested against examples your team agrees are correct.
- 04
Evaluation
An evaluation set that measures accuracy, safety and cost, so decisions are based on evidence rather than demos.
- 05
Production build
Integration with your systems, single sign-on, permissions, audit logs, guardrails and human approval steps.
- 06
Governance & compliance
Risk assessment, documentation and controls mapped to the rules in your markets.
- 07
Rollout & training
A staged launch with the people who will use it, plus training and clear guidance on when to trust the output.
- 08
Monitor & improve
Dashboards for quality, usage and cost, with regular reviews as models and your needs change.
Data & hosting
Your data stays where you need it
We deploy in your own AWS, Azure or Google Cloud account in US regions, or use enterprise model APIs with zero data retention where available. For the most sensitive workloads we can run open-source models inside your own environment.
Every deployment includes single sign-on, role-based access, encryption in transit and at rest, and logs your security team can review.
- US-region hosting on AWS, Azure or Google Cloud
- Enterprise model APIs with no training on your data
- Self-hosted models for regulated data
- SSO with Okta, Entra ID or Google
Working together
Time zones, contracts and communication
Our team is in India, which overlaps with the US East Coast morning. We schedule stand-ups and reviews in your hours, including Central and Pacific time, and share progress in Slack or Teams between calls.
Contracts, documentation and invoices are in English and billed in USD.
- Calls in Eastern, Central, Mountain or Pacific hours
- NDA before you share details
- Fixed price, time & material or dedicated team
- You own all code, prompts and IP
Industries
Industries we serve in the USA
Engagement models
Work with us the way that suits you
Fixed price
For projects with a clear scope. We agree features, timeline and cost up front, and deliver in milestones you sign off one by one.
Time & material
For products that will evolve. You pay for the hours worked, with full visibility through weekly reports and a shared task board.
Dedicated team
Developers, designers and testers who work only on your product, managed by you or by our project manager.
Guides
Read before you start
AI implementation roadmap
The seven steps from first idea to a system people rely on.
What drives AI implementation cost
Where the budget goes, and how to keep running costs predictable.
RAG vs fine-tuning
Two ways to teach a model about your business, and when to use each.
EU AI Act checklist
What providers and deployers of AI need to do, step by step.
AI rules in the USA
Federal guidance, state laws and sector rules that shape US AI projects.
Implementing AI in the UAE
National strategy, data laws, free zones and Arabic language AI.
AI implementation in the USA: FAQs
Do you work with US companies remotely?
Yes. We work with US clients remotely, with calls planned in your time zone and progress shared in your tools between calls.
Which US AI laws apply to our project?
It depends on what the AI does and where your users are. Hiring, lending, insurance, housing, healthcare and education use cases attract the most rules. State laws such as Colorado's AI Act and California's privacy rules are changing, so we map your use case early and confirm the details with your counsel.
Can you build HIPAA-compliant AI?
We build with HIPAA safeguards: business associate agreements with providers, minimum-necessary data, access controls, encryption and audit logs. Compliance also depends on your own policies, so we work with your privacy officer.
Will our data be used to train AI models?
Not with the enterprise APIs and deployment options we use. We configure providers so your data isn't used for training, and can self-host models when needed.
How do we measure ROI?
Before building, we agree a baseline and a measure, such as tickets resolved, hours saved or error rate. The proof of concept is judged against it.
Do you invoice in US dollars?
Yes. We quote and invoice in USD.
Where we work
AI implementation for the USA, Europe and the UAE
Each market has its own rules for data and AI. We design for them from the first workshop, and plan calls in your working hours.
United States
You're here: AI for US companies, built around NIST AI RMF, state AI laws and HIPAA.
Europe & UK
EU AI Act and GDPR-ready AI for the UK and Europe, with EU hosting.
UAE & Middle East
Arabic and English AI for the UAE, built for PDPL, DIFC and ADGM rules.
What are you waiting for?
Let's talk about your project
Tell us what you're building, or what needs rescuing. We reply within one business day.