AI integration services for business.
AI integration services for businesses across the US and Canada. We connect AI to the systems you already run: agents that handle real workflows, chatbots that answer and book on your website, and automation that removes manual work, from first pilot to production.
- What are AI integration services?
- Connecting AI models to your own data and tools (CRM, helpdesk, ERP, website) so they do real work: answer customers, triage requests, draft documents and automate workflows, with guardrails and human review where it matters.
- Who it's for
- Operations, support and sales leaders with repetitive, high-volume work, enterprises that need AI inside existing systems, and founders building AI into a product.
- What it costs to get started
- A single-workflow AI assistant typically starts at $10,000–$30,000. An agent integrated with your CRM or ERP typically runs $40,000–$120,000.
Who it's for
Built for teams like yours.
Growing businesses
An AI chatbot for your website that answers questions, qualifies leads and books calls, plus automation for the admin work that slows your team down.
Enterprises
AI agents wired into your CRM, ERP and helpdesk, with access controls, audit logs and human review for high-stakes actions.
Product teams
AI features inside your SaaS or app: search, summaries, copilots and recommendations, with evaluation built in so quality doesn't drift.
Launching a startup?
We help founders ship AI into an MVP without over-building: one workflow that clearly works, measured, then expanded as the product grows.
Outcomes
What changes for your business.
Faster responses
Customers and staff get answers in seconds instead of waiting in a queue.
Less manual work
Data entry, triage and routine follow-ups move to automation your team supervises.
Answers from your own data
AI grounded in your documents and systems, not generic internet knowledge.
Safe by design
Private deployments, scoped permissions and logs you can audit.
What's included
Everything to ship it properly.
AI agent development
Agents that take actions in your systems (update records, route tickets, draft replies) with clear limits on what they can touch.
AI chatbots for websites
Assistants that answer from your content, qualify visitors and book meetings, handing off to a person when needed.
AI automation consulting
We map your workflows, find the ones worth automating and estimate the return before anything is built.
Generative AI and RAG
Copilots and search grounded in your knowledge base, with retrieval, evaluation and content filters included.
Predictive models
Forecasting, classification and anomaly detection trained on your data, with drift monitoring and retraining.
Evaluation and governance
Test sets, guardrails, human-in-the-loop review and audit logging, set up as part of the build rather than added later.
Tools and platforms
- Azure OpenAI
- Anthropic
- OpenAI
- LangChain
- LlamaIndex
- Hugging Face
- PyTorch
- MLflow
- Pinecone
- pgvector
Pricing
What it costs.
AI agent implementation cost by complexity. Typical ranges for the US market in 2026.
| Tier | Example workflow | Implementation | Ongoing monthly |
|---|---|---|---|
| Single-workflow assistant | Inbound email triage with CRM update | $10,000–$30,000 | $200–$1,500 |
| CRM- or ERP-integrated agent | Support agent with full case history | $40,000–$120,000 | $1,000–$8,000 |
| Multi-agent orchestration | Planner and specialist agents with governance | $150,000–$500,000+ | $5,000–$40,000 |
Process
How we work.
A weekly rhythm with a named senior lead, working software to review, and a clear next step.
- 01
Discovery
We review your data and workflows, rank use cases by return and feasibility, and agree how success will be measured.
- 02
Design
Architecture, model choice, guardrails and rollout plan, with budget and risks agreed before the build starts.
- 03
Build
A working pilot on real data, then hardened for production with evaluation, monitoring and access controls.
- 04
Launch and improve
We deploy, train your team, watch quality weekly and expand to the next workflow that proves its value.
In depth
AI integration that reaches production
Plenty of AI projects stall after an impressive demo because the data, permissions and monitoring needed for production were never planned. We plan for them from the first week: which systems the AI can read, which actions it can take, how answers are checked, and who reviews the edge cases.
Most engagements start with one workflow that has clear volume and a clear owner, such as support triage, lead qualification or document intake. Once it works and the numbers are visible, we expand to the next one. That keeps cost predictable and gives your team time to trust the system.
We are model-agnostic. Azure OpenAI suits companies that need enterprise privacy terms, Anthropic and OpenAI models suit complex reasoning, and open-source models suit cost-sensitive or on-premise workloads. For a step-by-step view of building agents, see our AI agent development guide.
Related work
Real client projects.
Guides
Further reading.
AI Agents for Business: Implementation Guide, Costs & ROI for US Companies (2026)
A vendor-neutral guide to setting up AI agents for US companies in 2026: what agents can realistically do today, build vs buy vs custom, cost by complexity tier, ROI math, and CRM/ERP integration considerations.
Read the guide AI & MLAI Agent Development: How to Build Production-Grade Agents in 2026
Architecture patterns, tool design, memory, evaluation, and cost control for teams moving AI agents out of the demo stage and into production workloads.
Read the guide AI & MLGenerative AI Services for Business: Use Cases, Costs and Rollout in 2026
Where generative AI actually pays for itself in a business, how to prioritize use cases, what deployment costs, and how to roll it out without creating governance debt.
Read the guideFAQ
AI & Machine Learning questions.
How much does AI agent implementation cost?
It depends on complexity: typically $10,000–$30,000 for a single-workflow assistant, $40,000–$120,000 for an agent integrated with your CRM or ERP, and $150,000–$500,000+ for multi-agent orchestration with governance. Model usage is billed separately and scales with volume.
Can you add an AI chatbot to our website?
Yes. We build website assistants that answer from your own content, qualify visitors, book meetings into your calendar and hand off to a person when a question needs one. Conversations are logged so you can see what customers ask.
How quickly can we get a working AI system?
Most engagements ship a working pilot in 6–12 weeks, starting with a use case where your data is already in good shape and expanding from there.
Do you use open-source or proprietary models?
Both. We choose on cost, speed, privacy and reasoning needs. We work with Azure OpenAI, Anthropic, OpenAI and open-source models such as Llama and Mistral.
How do you handle data privacy?
We default to private deployments where your data isn't used to train public models, limit each system's access to what it needs, and log activity so it can be audited. Regulated industries also get PII redaction and human review gates.
How do you stop AI from making things up?
Answers are grounded in your own data, checked against test sets before launch, filtered for unsafe content and monitored weekly. When the AI isn't confident, it hands the question to a person.
Can AI work with our existing systems?
Yes. Most of our AI work connects to CRMs, ERPs, data warehouses, helpdesks and internal tools you already use, rather than replacing them.
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