LinXar Labs

Services engineered for firms that bill by the hour and can't afford to lose them.

Three systems. Built for consulting, accounting, agency, and e-commerce operations specifically — not generic “business automation.”

AI Workflow Automation

Eliminate manual throughput. Built for consulting, accounting, agency, and e-commerce operations specifically.

For consulting & professional services: client intake forms that populate your CRM and project tracker automatically. Proposal generation pulling from a standard template and your notes. Status reports assembled from project data without a consultant opening a spreadsheet.

For accounting & financial firms: invoice processing automation that reads, categorizes, and enters approved payments into your accounting software. Reconciliation workflows that flag exceptions instead of requiring a full manual review. Client onboarding sequences that collect documents and compliance data without a back-and-forth email chain.

For marketing & creative agencies: campaign reporting automation pulling data from ad platforms into a single client-ready dashboard. New account onboarding that provisions tools, briefs, and access in one workflow instead of a checklist someone forgets.

For e-commerce & DTC brands: order processing and fulfillment handoffs between your storefront, inventory, and shipping tools. Returns workflows that route automatically based on rules you define.

Architecture: We build on Make, n8n, and Airtable — turning disconnected tools into one self-correcting system.

  • 40+ hrs / client / mo saved on average
  • Zero manual data entry across integrated systems
  • Exception-based reconciliation & real-time error detection
  • Custom decision logic for workflows that are not simple if-then sequences

Live Pipeline — Make & n8n

Trigger

Process

Output

invoice_processing COMPLETE · 2.1s
crm_intake_sync COMPLETE · 1.4s
client_report_push RUNNING...
40+hrs / client / mo saved
Maken8nAirtableZapier MigrationAPI OrchestrationREST APIsWebhooksPostgreSQL

AI Chatbots & Assistants

Not a FAQ bot. Reasoning agents connected to your real business data.

Core architecture: Not a FAQ bot bolted onto your website. A reasoning agent that accesses your actual data — your client records, your product catalog, your knowledge base — and handles multi-step queries before escalating to a human with full context attached.

Consulting & professional services: an intake assistant that qualifies leads, answers scoping questions, and books discovery calls — the exact system we run for LinXar Labs itself.

Accounting & financial firms: a client-facing assistant that answers status questions on filings, documents needed, and deadlines — without pulling a bookkeeper off billable work.

Agencies: a client portal assistant that surfaces campaign status and answers "where are we on X" without an account manager checking three tools first.

E-commerce: order status, returns, and product questions handled on WhatsApp and web, in seconds, at a fraction of the cost of a human support queue.

Performance: Response time under 400ms. Deployed on WhatsApp and web.

  • 24/7 customer and client response without adding headcount
  • 80% queries resolved autonomously with zero misrouted escalations
  • Deep integration with your CRM, databases, and client records
  • Human escalation with full conversation context attached

AI Reasoning Agent — Live

We need onboarding automation for 20 new consulting clients.

Intake workflow mapped. Feasibility sprint scope ready. Discovery call booked for Tuesday ✓

Qualified autonomously · context sent to engineer

<400msresponse time · WhatsApp & Web
GPT-4 / ClaudeWhatsApp Business APITwilioLangChainVector DBsRAG SystemsCustom UI

Web Platforms & Systems

Digital infrastructure engineered to support the AI systems running behind it.

AI-native foundation: Every platform we build is engineered to support the AI systems running behind it — not bolted on afterward.

Client portals: connected directly to your automation and chatbot systems.

Real-time dashboards: surfacing automation and reporting data for consulting, accounting, and agency clients.

Business websites: with AI-ready APIs built in from day one, so your next automation project doesn't require a rebuild.

Tech stack: Built on Next.js and TypeScript. Deployed on Vercel Edge. Zero-downtime deploys.

  • AI-ready APIs built into every platform from day one
  • Role-based dashboards for operations, accounting, and management teams
  • Schema markup and performance architecture for search visibility
  • Designed to integrate natively with your automation stack

System Dashboard

Live
Hours Saved / Month400+
Active Workflows12+
AI Platforms3
EdgeNext.js & Vercel Deployed
Next.jsTypeScriptTailwind CSSSupabaseVercel EdgePostgreSQLtRPCREST & GraphQL APIs

Common questions SMEs ask about AI and workflow automation.

An AI automation agency designs, builds, and manages intelligent systems that handle repetitive tasks in your business — such as lead qualification, data entry, customer support triage, document processing, and reporting — using a mix of workflow tools and AI. For SMEs, this frees your team from busywork so they can focus on growth and customer relationships, without needing to hire more staff or become technical experts.

Traditional automation follows fixed rules (if this, then that). AI automation adds intelligence: it can read emails or documents, understand context, make decisions, and handle exceptions. A generic SaaS chatbot is a tool you configure yourself. An agency builds custom systems that integrate with your existing tools, trains them on your data, and often runs them as a managed service so you get outcomes, not another platform to maintain.

Typical fixed-price projects for a focused SME workflow range from a few thousand to the mid-tens of thousands, depending on complexity and number of systems involved. Simpler single-process pilots sit at the lower end; multi-system or custom builds cost more. Ongoing managed support is usually a modest monthly retainer. Always get a written fixed quote after discovery so there are no surprises.

Most focused pilots go live in 2–4 weeks. More complex multi-system rollouts typically take 4–8 weeks (sometimes up to 12). Timeline depends on scope, data readiness, and access to your tools. A good agency starts with a clear discovery phase and prioritises high-ROI workflows first so you see value quickly.

Related Resources:Our 4-Step Process

Many SMEs recover the investment within 3–18 months through time savings, reduced errors, faster response times, and capacity to handle more work without extra headcount. Calculate it simply: hours currently spent on the task × loaded hourly cost × 52 weeks. High-volume repetitive processes often deliver the strongest and fastest returns. Track specific metrics (hours saved, error rate, lead response time) from day one.

No. The goal is to remove repetitive, low-value tasks so your team can focus on higher-value work that requires human judgment, creativity, and relationships. Most clients report higher job satisfaction because staff spend less time on tedious admin. Automation supports and multiplies your existing team rather than replacing it.

No. You explain your current workflows and desired outcomes. The agency handles the technical design, integration, testing, and deployment. Your team’s time investment is typically a few hours per week during discovery and testing. Good agencies also provide plain-English documentation and training so your team can use and oversee the systems confidently.

Related Resources:Book a Discovery Call

Yes, when done properly. Reputable agencies use least-privilege access, run systems in your accounts where possible, follow GDPR (and other relevant regulations), apply encryption, role-based controls, and keep audit logs. Ask specifically about data handling, where credentials live, and what happens if something goes wrong. Never accept long-lived vendor-held credentials without clear controls.

Related Resources:Privacy Policy

Start with high-volume, repetitive tasks that have clear inputs and outputs and currently consume significant staff time. Common high-ROI starting points include lead intake and qualification, customer support triage, document and invoice processing, CRM data entry/updates, appointment scheduling and follow-ups, and recurring reporting. Prove value on one or two workflows before expanding.

No. Effective AI automation integrates with the tools you already use via APIs or connectors. Your team continues working in familiar systems while the automation runs in the background. A good agency audits your current stack first and only recommends changes when truly necessary.

Quality agencies include an initial support period after launch and offer ongoing managed retainers for monitoring, fixes, updates when your tools change, and continuous improvement. You should also receive clear documentation and runbooks. Ask about ownership of the systems and accounts — you should retain control.

For most SMEs, an agency is the faster and lower-risk route for the first projects. Building in-house requires time, specialised skills, and ongoing maintenance that many small teams do not have. An agency delivers working systems in weeks, transfers knowledge, and lets you decide later whether to bring more capability internal.

AI & automation agencies focused on SMEs commonly serve service businesses, professional firms, contractors, healthcare practices, real estate, retail, hospitality, and similar. Ideal clients are usually teams of roughly 5–500 people — large enough to have meaningful repetitive work, small enough that a focused automation delivers visible impact without enterprise-scale complexity.

Book a discovery call. We map your current workflows, identify the highest-ROI opportunities, outline a realistic scope and timeline, and provide a fixed-price proposal. Many engagements begin with a low-risk pilot on a single high-impact process so you can validate results before scaling.

Have a specific workflow question not answered here?

Book a 30-minute discovery session. We'll audit your processes and give you an honest technical assessment.

Discovery call → Paid feasibility sprint → Implementation → Monthly partnership

Discovery call (free, 30 min) → Paid feasibility sprint ($1,500 flat, 7 days) → Implementation (2–4 week cycles) → Monthly partnership. If we can't solve it at scale, we tell you on day 3 of the sprint and refund the balance. No wasted budget, no open-ended “AI exploration” retainer.

Innovating Tomorrow, Today!