What we build for you
Six kinds of AI work we take from idea to production. Each one starts
with a problem your team already has.
AI agents and workflow automation
Agents that read your inbox, update your CRM, reconcile invoices, and move work between tools. When a case is unclear, they hand it to a person instead of guessing.
Good fit if: Your team copies data between the same few tools every day.
Customer-facing AI assistants
Assistants for your website and WhatsApp that answer from your own content, qualify leads, and book appointments around the clock.
Good fit if: Enquiries arrive after hours or wait too long for a reply.
Knowledge assistants over your documents
Ask questions of your policies, contracts, SOPs, and support history, and get answers with links to the source. Access follows your existing permissions.
Good fit if: The same internal questions get asked and answered again every week.
AI features inside your product
Add search, summaries, extraction, and recommendations to an existing app or SaaS product, with tests that measure quality before release.
Good fit if: Customers expect AI in your product and competitors already ship it.
MCP servers and AI integrations
Connect Claude, ChatGPT, and Cursor to your internal systems through Model Context Protocol servers, with scoped access and audit logs.
Good fit if: Your people already use AI assistants but they cannot see company data.
AI strategy and fractional CTO
Find the two or three use cases worth funding, decide build versus buy, and get senior technical leadership without a full-time hire.
Good fit if: You know AI matters but not where to start or whom to trust.
How a project works
Small first steps, a fixed price, and working software every week.
- 1
Free 30-minute call
Tell us how the work gets done today. We tell you honestly whether AI will help, and where it won't.
- 2
Fixed-scope proposal
A written plan with the use case, success measure, timeline, and a fixed price. No open-ended retainers to get started.
- 3
Build with weekly demos
You see working software on your real data every week, not slide decks. Scope changes are agreed in writing.
- 4
Launch and hand over
We deploy, monitor quality, and hand over code, documentation, and training. Stay with us for improvements, or run it yourself.
How we build
You own everything
Code, prompts, data, and accounts belong to you from day one.
Model-agnostic
We choose Claude, GPT, Gemini, or open-source models per task on cost and quality, and can switch later.
Measured before launch
Every system ships with an evaluation set, so quality is a number you can track, not a feeling.
People stay in control
High-stakes actions like payments, refunds, and customer promises need human approval.
Find out what AI can take off your team's plate.
Book a free 30-minute call. Bring one workflow that eats your team's time,
and we'll tell you honestly whether AI can help and what it would take.
Book a free AI consultation Or email asvini@tribble.in
Google Ads operations
We also run performance marketing for our own products and selected
client accounts. Our internal Google Ads platform uses the Google Ads API
for reporting, performance analysis, recommendations, and managed account
operations. It is not a public-facing ads platform.
• Read campaign, ad group, keyword, search term, and conversion performance data.
• Generate internal dashboards and client-facing summaries for active accounts.
• Recommend budget shifts, bid adjustments, and campaign hygiene actions.
• Support limited campaign updates only for accounts managed by Tribble or with explicit client authorization.
Accounts are accessed only with authorization from Tribble or the client
that owns the account. Campaign strategy and major changes are reviewed
by a human operator. See the full
Google Ads API use case.