We help businesses
connect with AI.
Websites, search visibility, paid acquisition, and workflow automation — one growth system, one team.
Most agencies sell pages, blogs, and ads. We build the system that brings in leads, converts them, and automates the admin work behind them.
production systems
across real operations
through AI growth
gain in workflow envs
Four practices.
Eighteen ways to ship.
AI, software, web, and growth — delivered as an integrated operation instead of four disconnected vendors. Published price bands, clear scopes, production from day one.
AI & Model Training
$2.5k → $75k+Custom-trained models, retrieval systems, and LLM applications built around your data, accuracy goals, and production constraints.
Automation & Orchestration
$3k → $45k+Agentic workflows, multi-model routing, and voice systems that remove operational drag instead of adding complexity.
Software & Product Engineering
$2k → $90k+Internal tools, portals, AI products, and mobile apps — shaped around real workflows, roles, and approvals rather than templates.
Web, CMS & Growth
$800/mo → $35k+Conversion-led websites, CMS platforms, and paid-acquisition systems tied back to measurable business outcomes.
Four things most
vendors don't do.
We try to be the opposite of an agency that over-promises and under-scopes. These are the commitments we make on every engagement — written down, not implied.
Production-first, not demo-first
Integrations, monitoring, evaluation, and rollout logic are considered before the first line of code — never bolted on after a proof of concept impresses someone.
Published price bands
Every service has a starting price and typical range on the site. Pricing should reduce hesitation, not create it — and scope conversations start with real numbers.
One partner, four practices
AI, software, web, and growth under one delivery system. Fewer vendor seams, tighter handoffs, and work that compounds across acquisition, product, and operations.
Commercially useful, not trend-driven
Solutions are shaped by the workflow, not the hype cycle. Sometimes the right answer is an agent; often it's plain automation, better data, or a clearer conversion path.
Structured enough
for serious buyers.
A strong engagement reduces uncertainty. Our process clarity is part of the pitch — it helps you imagine how the work would actually land inside your org.
- 01
Clarify the commercial goal
We start with what the system needs to improve: efficiency, revenue, quality, speed, or visibility.
- 02
Design the right solution shape
AI, software, web, or growth — chosen based on fit, not trend pressure. Architecture decisions with tradeoffs written down.
- 03
Build with production in mind
Integrations, maintainability, observability, and rollout logic are considered from the start — never bolted on later.
- 04
Launch and refine
Going live isn't the goal. Getting to a stable, measurable, and improvable system is — with evals and feedback loops baked in.
Bands, not mystery.
Pricing should reduce hesitation, not create it. Four lanes with transparent bands — scope, timeline, and next step laid out.
Fine-tuning, RAG builds, evaluation suites, and agent platforms.
Internal tools, portals, dashboards, and business platforms.
From conversion pages to headless content platforms.
Google Ads management, landing systems, ongoing optimization.
Relevant,
not generic.
Workflow patterns, friction points, and solution shapes — spelled out for the sectors we ship into most often.
Accounting & Finance
Workflow-heavy teams that benefit from automation, reporting systems, and AI-assisted operations.
- Workflow automation
- Custom portals
- RAG for policy
Healthcare
Sensitive, process-driven environments where compliance, structured data, and efficiency matter.
- Custom models
- Staff portals
- Voice & automation
Ecommerce
Growth-focused businesses that need better acquisition, automation, and digital product experiences.
- AI SEO
- Conversion pages
- Google Ads
Logistics & Supply Chain
Operational businesses that need forecasting, workflow visibility, and intelligent reporting systems.
- Routing automation
- Data pipelines
- Computer vision
Manufacturing
Teams that need inspection, process control, predictive insights, and custom software support.
- Vision inspection
- Quality models
- Ops software
SaaS & Tech
Software-driven companies looking for product engineering depth, AI features, and scalable systems.
- AI product eng
- Multi-LLM systems
- App & platform
Agencies & Service Firms
Delivery teams that need automation, campaign systems, portals, and operational leverage.
- Delivery portals
- CMS & web
- Ads & SEO
Education & Training
Learning businesses that benefit from content systems, apps, AI workflows, and structured knowledge bases.
- RAG knowledge
- Learning apps
- CMS workflows
Serious delivery,
documented.
Trust pages shouldn't be decorative. Each one moves you from curiosity into confidence about how the work actually happens.
Teach something useful.
Then lead into the work.
RAG vs Fine-Tuning
A practical comparison of two common AI approaches and how to choose the right path — with cost, latency, and maintenance tradeoffs.
Enterprise AI Implementation Roadmap
A phased way to move from exploration to deployment without wasting budget or momentum.
Cost of Building Custom AI Software
What actually shapes delivery cost across scope, infrastructure, complexity, and maintenance.
Vector Search & RAG Architecture
Structure-first guide to retrieval systems, indexing, chunking, and answer quality.
Multi-LLM Orchestration Guide
How to combine models, providers, and workflows for stronger reliability and results.
Evaluating & Guardrailing LLM Systems
How to make LLM features safer, more reliable, and more commercially useful through structured evaluation.
Common questions,
direct answers.
Do you only do AI work?+
No. ConnectivAI is positioned around AI systems, custom software, app and web development, CMS execution, and growth systems such as Google Ads. Many projects cut across several of these.
Can one project include several services?+
Yes. Many projects cut across AI, software, web, CMS, and growth execution. The service structure exists to create clarity, not to force artificial separation.
How should I decide between a general inquiry and a quote request?+
If the work is defined enough to discuss scope and cost, use the project estimate path. If the shape is still unclear, send a general inquiry and we'll come back with the right next step in writing.
Do you offer one-time projects and ongoing retainers?+
Yes. Some work is best as a scoped build, while optimization, Google Ads, AI SEO, and support work often fit better as retainers.
How early should we involve ConnectivAI in a project?+
Earlier is usually better, especially when architecture, pricing logic, workflow design, or service fit are still open questions.
What most affects project pricing?+
Data readiness, integration depth, evaluation requirements, compliance, and how production-ready the final system needs to be — usually more than the raw AI layer itself.
Make the next move
obvious.
If you're ready to scope, request a quote. If you're still evaluating, pricing and service pages give you the real answers — not marketing fog.
Start the conversation in writing
Tell us what you're trying to move and we'll email back a budget range, recommended next step, and any clarifying questions — usually within one business day.