A senior AI engineer in your team
We place a senior AI engineer on-site 2 to 3 days per week. We unlock secure data access, integrate agents into your systems, and ship a production-ready workflow in weeks. One predictable retainer, backed by Laava specialists.
From PoC to production • Custom solutions
Why AI stalls at pilots
Prototypes are easy.
Production is where things break: data access, permissions, integrations, security requirements, evaluation, monitoring, and clear ownership.
By embedding an engineer in your team, we ship one workflow that truly runs, then replicate the pattern so your organization can keep building.
The tiny team model
one engineer + one domain owner = fast, reliable delivery
Pick one workflow and define success
We start with focus: one high-impact workflow. We map the systems involved, define KPIs, and secure the right access.
Ship a production-grade thin slice
In weeks, we deliver a thin slice that runs on real data and systems. Guardrails, logging, and rollback are part of "done".
Repeat the pattern and keep knowledge in-house
Once the first workflow runs, we replicate the pattern. We leave runbooks, documentation, and enablement so your team can operate and extend it.
What's included
On-site 2 to 3 days per week (flexible)
Direct Slack/Teams access for fast iteration
Secure data access, least-privilege by default
Integrations into your ecosystem (CRM, tickets, docs, data)
Evaluation, monitoring, and operational runbooks
Architecture reviews and technical leadership
Typical workflows
Examples of workflows we often get live within weeks, depending on your stack and access.
Support triage and reply drafts
Connects tickets (Zendesk/Intercom/Freshdesk), product docs, and order data. Drafts replies, classifies, prioritizes, and routes to the right queue. With citations and logging.
Sales ops: account research and follow-up
Pulls context from CRM (HubSpot/Salesforce), email, notes, and the website. Produces an account brief, next steps, and follow-up messages. Creates tasks in the CRM and logs which sources were used.
Operations: request intake to ticket execution
Turns messy requests from email/Teams into structured tickets with the right fields, owner, and SLA. The agent asks for missing info, creates tasks, and tracks status.
Document Q&A with governance
Answer questions over policies, contracts, procedures, and knowledge bases with reliable citations. Access follows your existing permissions. Includes an audit trail: who asked what, and what sources were used.
Finance: invoice processing and matching
Extracts invoice data, matches to POs/contracts, flags exceptions, and prepares approvals. Outputs to your accounting system with control points and human review where needed.
Data quality and monitoring assistant
Runs daily checks for missing or anomalous data in critical tables/feeds. Sends alerts, creates tickets, and provides a short root-cause hypothesis. Great when you're maturing data pipelines.
Let's talk
In 30 minutes we assess fit: use case, data access, integrations, and ownership. If it fits, we'll propose a simple first-month plan.