Tinkerberry Labs
AI automation for saas

Ship AI features and automate the go-to-market grind.

Your roadmap has an AI feature on it, your support queue is growing, and your team has no spare capacity for either.

Seed to Series B SaaSDev tools and platformsMarketplacesInternal platform teams

4-8 wks

from scoping to a shipped AI feature

50-70%

of support tickets deflected

30-60%

less manual onboarding effort

8

documented automations for this sector

The automations

Where saas teams lose hours, and what replaces it.

Each one is a system we have specified and built before.

01

In-product AI assistant

The manual process today
Users cannot find features and churn before they see value.
What we build
An embedded assistant grounded in your docs and product state that answers questions and performs actions through your own API.
Typical impact
Activation and feature adoption both lift; support load falls.
Docs RAGProduct API toolsStreaming chat UI
02

Support deflection and ticket routing

The manual process today
The same twenty questions consume most of support's time.
What we build
A support agent over docs, changelog and past tickets that resolves the routine and routes the rest with a drafted answer and diagnosis.
Typical impact
Deflection of half or more of inbound with faster human replies on the rest.
Helpdesk APIKnowledge base RAGEscalation logic
03

Customer onboarding automation

The manual process today
Implementation is a manual checklist run by CSMs over email.
What we build
Guided, automated onboarding with data migration helpers, progress tracking and nudges when a customer stalls.
Typical impact
Time to value shortened and CSM capacity multiplied.
Product eventsWorkflow engineLifecycle messaging
04

Churn risk and expansion signals

The manual process today
Usage data exists but nobody watches it until renewal month.
What we build
Health scoring from product usage, support and billing signals, with a written explanation and a suggested play per account.
Typical impact
At-risk accounts surfaced weeks earlier; expansion prompts land at the right moment.
WarehouseScoring modelsCRM tasks
05

Sales research and call preparation

The manual process today
Reps spend a third of their time on research and CRM hygiene.
What we build
Automatic account research briefs before every call, and call notes written straight back into the CRM afterwards.
Typical impact
Selling time recovered, and a CRM that is complete for once.
Web researchCall recordingCRM API
06

Engineering triage and code review support

The manual process today
Bug reports are vague and reviews queue for days.
What we build
Automated issue triage with reproduction steps and duplicate detection, plus first-pass review comments on pull requests.
Typical impact
Faster triage and reviews that focus on design, not typos.
GitHub / Linear APIsCode-aware modelsCI integration
07

Content and SEO programme

The manual process today
Content marketing stalls because writing takes longer than shipping.
What we build
A pipeline from keyword and customer-question research to briefs and drafts, in your voice, reviewed before publishing.
Typical impact
Consistent publishing cadence without a content hire.
Search dataBrand voice libraryCMS API
08

Data enrichment and lead scoring

The manual process today
Inbound signups are worked in the order they arrive.
What we build
Enrichment, ICP fit scoring and intent signals that route the best signups to sales within minutes.
Typical impact
Sales time spent on accounts with budget and fit.
Enrichment APIsScoring modelRouting automation
Questions

What saas teams ask us.

Yes, and we prefer it. We can build end to end, or design the architecture and pair with your team so they own it afterwards.

Model routing by task complexity, aggressive caching, prompt-level cost budgets and dashboards that show cost per resolved ticket rather than per token.

Audits are a fixed fee and are credited against a build. Single-workflow builds typically land in the low five figures, multi-workflow programmes higher, and ongoing running and support is a fixed monthly fee. You get the number before we start, not a rolling hourly bill.

A first pilot on your real data usually runs within two to four weeks of the kickoff call. Full deployment with integrations and training normally lands between weeks four and eight.

Your automation plan

Tell us what your saas team keeps doing by hand.

Thirty minutes, no pitch deck. We map the process, tell you whether automation pays back, and give you a rough cost before you commit to anything.

The work
How often does it happen?
Hours it costs your team each week

Three short steps. An engineer reads it and replies, usually within a business day.

Other sectors

Automations for adjacent industries.