For B2B product teams

We build SaaS products, and we add AI to the ones already in market.

Some teams need a new multi-tenant product. Others already have customers, and they need RAG, a copilot, or an agent inside that product. We do both. When AI is part of the work, it lands in your codebase with tenant isolation, a way to test the answers, and a cap on cost. A first AI feature usually takes 4–8 weeks. A new product is scoped on its own.

See what we walk through.

RAG · Copilots · Agents · Document AI · Voice · Automation · Cost controls

Features we are usually asked to ship

1

New SaaS products

A new SaaS product, multi-tenant from the start, in your repository and your cloud.

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2

AI features for existing SaaS

AI inside a product that already ships, where the users, data, and workflows already are.

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3

RAG

Answers from that customer’s documents, with the source attached.

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4

Copilots

An assistant that can actually do things in your product, not only chat about them.

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5

Agents

The repetitive steps, with a person still approving anything hard to undo.

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6

Document AI

A contract, invoice, or form that comes back as fields your app can store.

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7

Voice

Callers who reach the product, not a generic front desk.

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8

Social publishing

Drafts and queues first, and nothing published until a person says so.

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9

Feature sprint

One AI feature, finished. Most first features take 4–8 weeks after a short discovery.

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10

Web development

Frontends and backends for product teams.

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11

Mobile app development

iOS and Android clients for products that already have an API.

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12

Shopify development

Stores and apps, for teams who already want that from us.

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13

WordPress

Sites and WooCommerce, when that is the job.

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14

DevOps

Pipelines and cloud operations around a product.

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15

REST and GraphQL API

The same APIs an in-product assistant calls.

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16

SEO

Search work for teams that already engage us.

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How a feature gets into the product
how we work

Two ways we work.

A new SaaS product, multi-tenant from the start, in your repository and your cloud. AI can be in the first release, or it can wait until the product has users.

01.
A product that already ships

Your customers expect it. Support keeps answering the same questions. A competitor just shipped a copilot. A thin wrapper may have stalled once real customer data, wrong answers, and the model bill showed up. We add the feature where the product already has users, data, and workflows.

02.
How a feature actually gets into the product

We sit with the product owner, sketch the architecture, and write down what good looks like, including what it should cost to run. Then we build one feature, in your repo and your cloud, with a small set of questions so you can tell later if it got worse. The assistant uses the APIs you already have, and it can only see the signed-in customer’s data. Each tenant has a limit. If usage runs away, the feature stops before the invoice does. You own the code. We can stay on if you want the next slice done the same way.

On a call we open two flows with you: one customer’s knowledge base, and a support agent that reads a ticket and drafts the next step. See those flows.

The first stories are being written with clients who are in the work now. We publish a study when it is finished, with or without the name, and we only include numbers we actually measured. Read the work page.

Companies we have engineered for

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testimonials

customers testimonials

Well i got a 5 star service. He communicates well, he listens, patient, open minded, keeps you posted during the process. I coundn't ask for any better service. If you know what you want and present your brief well he will give you what you ask for and more in recomendation of the best way to do stuff. I wish i found him earlier. I will work with him again on my next projects. I am happy with my website. Thank you for the job well done. I will be back for more.

Amochelane Charlton

CEO

I highly recommend Adeel for backend development. He masterfully built our admin panel and created effective import scripts. His commitment to understanding and meeting our specific requirements was outstanding, and he consistently delivered on time. If you need a skilled and reliable backend developer, look no further

Mouhamed Ndiaye

CTO

This is my second project with him. His expertise never cease to amaze me. I give 10 out 10.

Wiscarlens

CEO

FAQs

Questions we hear first

A founder, CTO, or head of product with a B2B SaaS to build, or one that already has customers. If you know what the product is and who it is for, a new build is welcome. If the ask is a public chatbot with no product behind it, it is a bit early, and that is all right. Read the work page.

In your repository, on your AWS, Azure, or GCP account. You own it.

Search results and actions stay with that tenant. Some apps already use row-level security, some a schema, some a store of their own. We follow the pattern you have, and we check that one customer cannot see another.

We estimate it before the build, then put a cap on each tenant. The provider bills your account.

Customer-facing answers point at the source. We keep a set of questions we re-run before a release. Publishing, deleting, charging, or emailing a list still waits for a person.

Yes. We do that before we look at your design or credentials.

Not today. If a certification matters for your deal, we will say so. We still write down how data is isolated, logged, and accessed.

Most first features take 4–8 weeks after a short discovery. Larger ones take longer, and we write that down before anyone starts.

Tell us what you want to ship.

A short note on the product and the feature is enough. We will come back with what the first few weeks would cover.

Book a call

+923239682494

info@dzonetechnologies.com

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