Sollarix

Systems & Automation

AI and automation that actually remove work

Practical AI features, agent workflows, and process automation built around real operations — not demos. We start from where time is actually being lost, then automate the steps that matter.

What this solves

Where AI and automation save real time

Most AI projects fail because they automate the wrong step or the wrong process. We start from the workflow, then decide what AI belongs there at all.

Manual, repetitive work

Hours lost to copy-paste between tools, hand-built reports, and email triage.

Slow internal processes

Approvals, intake, and routing held together by email and good intentions.

AI features without a business case

Impressive demos that ship nothing, change nothing, and quietly get retired.

Data scattered across tools

AI can't help if the inputs aren't reachable, clean, or trustworthy.

Tool sprawl and fragile glue code

Zapier flows nobody maintains and integrations that break every time a vendor releases an update.

What we cover

What we build under AI & automation

From small workflow automations to full LLM-powered features inside your product or internal tools.

01

Process and workflow audit

Where time is actually being lost, what's worth automating, and what shouldn't be touched.

02

Workflow automation

n8n, Make, custom code, and pipeline automation across CRM, comms, billing, and data.

03

Lead routing and intake

Automated qualification, routing, enrichment, and assignment — wired into your CRM and comms stack.

04

LLM-powered features

RAG over your data, summarization, classification, and structured extraction embedded in product or internal tools.

05

AI agents and pipelines

Multi-step agents with tools, guardrails, evaluation, and clear escalation paths to humans.

06

Reporting automation

Recurring reports built once, run forever — pulled from real sources instead of weekly screenshot rituals.

07

Tool integrations

Clean integrations across CRM, support, billing, data warehouse, and comms — replacing fragile glue with maintained code.

08

Evaluation and monitoring

Eval sets, regression checks, and runtime monitoring so AI features stay accurate as data and prompts evolve.

09

Internal training and handoff

Documentation, recorded walkthroughs, and a support window so your team owns what we built.

What we deliver

What you walk away with

AI and automation grounded in measurable time and cost savings — not vague productivity claims.

Scope of work

  • Workflow audit with time-savings model
  • LLM-powered features in product or internal tools
  • Agent and pipeline automation (n8n, Make, custom)
  • Integrations across CRM, comms, data, and billing

Outcomes you'll see

  • Evaluation sets, guardrails, and monitoring
  • Documented ownership and runbooks
  • Internal training and handoff sessions

How we work

Our automation process

01

Workflow audit

Map the actual processes, where time is lost, and what's worth automating before any tool decisions.

02

Prioritization and ROI model

Rank candidates by time saved, error reduction, and revenue impact — not novelty.

03

Prototype

Build the smallest version that proves the workflow end-to-end with real data.

04

Build and integrate

Production implementation with proper error handling, logging, and integration hygiene.

05

Evaluate and harden

Eval sets for AI components, regression checks, and runtime monitoring.

06

Handoff and iterate

Documentation, training, and a defined window for tuning as usage patterns settle.

Project examples

Project examples

Anonymous examples of the types of projects this work supports.

B2B SaaS

Sales ops — lead qualification agent

Built an LLM-powered classifier that scores and routes inbound leads using firmographic and behavioral data, freeing the SDR team from manual triage.

  • Lead scoring
  • CRM integration
  • Eval set

Operations

Internal reporting automation

Replaced a weekly screenshot-and-paste reporting ritual with automated pulls from billing, CRM, and product analytics into a single dashboard.

  • Recurring reports
  • Multi-source
  • Time recovered

Customer support

Support — first-draft replies

Embedded an LLM into the helpdesk that drafts replies from prior tickets and product docs. Agents stay in the loop; response time dropped significantly.

  • RAG over docs
  • Human-in-the-loop
  • Faster response

Industries

Relevant industries

Where this work tends to make the biggest impact.

FAQ

Questions we get asked

Short, honest answers. If you have something more specific, just ask.

Contact

Let's find the work worth removing

Tell us where your team is losing time today. We'll suggest the automation or AI feature with the most realistic payoff.

  • • Reply within one business day
  • • Short call to align on goals and scope
  • • Honest recommendation, even if it's not us

This helps us suggest the most realistic next step.