AI & Agentic Automation

Automate the repetitive work in your business with AI agents and LLM-driven workflows, wired into the tools you already use.

From $2,500 per automation

Limited Availability

I speak:🇺🇸English●●●●●🇸🇦Arabic●●●●●·🇫🇷French●●●●○🇳🇱Dutch●●●○○🇪🇸Spanish●●○○○

Automate the repetitive work in your business with AI agents and LLM-driven workflows, wired into the tools you already use.

From $2,500 per automation

Limited Availability

I speak:🇺🇸🇸🇦·🇫🇷🇳🇱🇪🇸

Quick Summary

Who it is for

Founders and teams drowning in repetitive, manual, or copy-paste work.

Outcome

Reliable AI automations that run your busywork and hand off cleanly.

Engagement

Fixed-scope automations or milestone-based delivery.

How to start

Book a session or take a free call to map what to automate first.

Automation Packages

Start with one automation, scale to a suite, then keep it running reliably.

Single Automation

$2,500–$4,000/ automation

One painful process, automated end to end and built to be reliable.

Automate one process

What's included

One workflow (from intake to follow-ups)
AI plus rules: the right tool per step
Human-in-the-loop on anything irreversible
Drafts for review, not blind sends
Integration with your existing tools
Audit trail of every run
Handover so it keeps working

Engagement: 1–2 weeks

Automation Suite

$9k–$32k/ project

Automate a whole function: several workflows wired together and monitored.

Scope a suite

What's included

Process audit & ROI-ranked map
Multiple workflows automated
Agent & LLM flows with guardrails
Integrations across your stack
Human-in-the-loop & approval gates
Monitoring, logging & alerts
Documentation & team handover
Rollout & adoption support

Engagement: 4–10 weeks

Managed Automation

$4,000–$8,000/ month

Ongoing automations plus the reliability layer, so it still works at 3am.

Discuss retainer

What's included

New automations each month
Monitoring & run observability
On-call for failures & edge cases
Model-per-task cost control
Maintenance & upgrades
Monthly strategy calls
Adoption & usage support

Engagement: Monthly retainer

What This Service Covers

AI-first automations with senior ownership of design, integration, and delivery.

Agentic Workflows

AI agents and LLM workflows that handle real operational tasks.

Doc & Data Automation

Extract, classify, summarize, and route documents, email, and data.

Tool Integrations

Wired into your CRM, workspace, messaging, and databases.

Guardrails & HITL

Approvals, retries, and fallbacks for safe, reliable runs.

Monitoring

Logging, alerts, and evaluation so automations stay healthy.

Smooth Handover

Documentation and handover so your team owns the automations.

If repetitive work is eating your team, I build AI-first automations that actually run it, with senior ownership of design, delivery, and launch.

These are agentic, LLM-driven automations, not brittle traditional scripts, but they integrate cleanly with the traditional tools and systems you already run.

Ready to automate your busywork?

Book a session or take a free call to map what to automate first.

Start a Project

Get In Touch

What Others Say

Feedback from people who have worked with me.

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What This Service Covers

We map your processes, decide where AI beats simple rules, and build automations that fit your business, data, and team.

AI agents and LLM workflows that handle real operational tasks.

Document, email, and data automation (extract, classify, summarize, route).

Research, enrichment, and reporting automations.

Integrations across your CRM, workspace, and messaging tools.

Guardrails, human-in-the-loop approvals, monitoring, and alerts.

Section 02

What I Automate

AI and agentic automation of all kinds. Not traditional rule-only scripts, but AI-first workflows that still plug into your traditional systems.

Sales & marketing ops: lead enrichment, outreach drafts, CRM updates.
Support: ticket triage, drafted replies, knowledge-base answers.
Back office: invoice and document processing, data entry, reconciliation.
Content & research: summaries, briefs, competitive monitoring.
Internal ops: reporting, alerts, and cross-tool sync.

Why Teams Hire Me

Deep experience building agentic AI systems in production.
Senior ownership with direct communication, no middlemen.
Pragmatic: AI where it wins, simple rules where they are enough.
Reliable delivery with weekly checkpoints and demos.
Documentation and handover so your team owns the automations.

Who This Is For

01Founders and small teams buried in repetitive manual work.

02Operators who want AI to run workflows, not just chat.

03Teams adding automation into existing products and tools.

04Companies replacing brittle scripts with reliable AI workflows.

05Anyone who keeps copy-pasting between tools all day.

Common Challenges I Solve

Manual work that scales with headcount instead of software.

AI demos that look great but break on real, messy data.

Automations with no guardrails, monitoring, or fallback.

Tools that do not talk to each other.

No clear handoff, so automations rot after launch.

Section 06

Tools & Platforms I Integrate With

AI automations usually need to talk to the tools your team already uses. I wire them into the most common business platforms, and bridge to traditional automation where it fits.

CRMs: HubSpot, Salesforce, Pipedrive
Workspaces: Google Workspace, Microsoft 365, Notion
Messaging: Slack, Microsoft Teams, Discord
Data: Airtable, Postgres, Snowflake, BigQuery
Traditional automation: Zapier, Make.com, n8n
LLMs & vectors: OpenAI, Anthropic, Pinecone, Weaviate, Qdrant
MCP servers and custom tool APIs

Engagement Options

Start with a single automation to prove value fast, then scale to a suite or an ongoing retainer.

Single automation: one process, $2,500–$4,000.
Automation suite: a whole function, fixed milestones, $9k–$32k.
Managed automation: new builds plus reliability, $4,000–$8,000 per month.
Day rate available for ad-hoc work ($1,200 / day); see other services.
Rescue: fix and harden brittle automations or torn-out "agent" builds.

Experience

Senior delivery ownership with a focus on production quality.

Experience

16+ years building production systems and leading delivery.

Open source

Laradock (2M+ downloads)

Frameworks

Apiato framework used by production teams.

Portfolio

100+ projects across SaaS, AI, and data systems.

Case studies

Real projects with measurable outcomes.

Company

Founder of Sista AI and delivery lead.

Drowning in repetitive manual work?

Let's turn it into reliable AI automations wired into your existing tools.

Start a Project

Get In Touch

FAQ

How much does it cost to build AI automations?

A single automation starts at $2,500–$4,000 and reliably does the 90% that matters. Automating a whole function (a suite of workflows) runs $9,000–$32,000 depending on scope and integrations. Ongoing managed automation is $4,000–$8,000 per month. Ad-hoc work is available at a $1,200 day rate.

How is this different from Zapier or Make automations?

Tools like Zapier, Make, and n8n are great for simple rule-based steps. I build AI-first automations: agents and LLM workflows that handle judgment, messy inputs, and language, and I integrate with those traditional tools where they make sense.

What kinds of work can you automate?

Lead enrichment and outreach, support triage and drafted replies, document and invoice processing, data entry and reconciliation, research and reporting, and cross-tool sync. If it is repetitive and rule-fuzzy, it is usually a good candidate.

Will the automation integrate with my existing tools?

Yes. I integrate with CRMs, workspaces, messaging, and databases, plus Zapier, Make, and n8n. Where needed, I build custom MCP servers and tool APIs so agents can act in your stack safely.

How do you keep AI automations reliable?

Guardrails, human-in-the-loop approvals for risky actions, retries and fallbacks, evaluation on real cases, and monitoring with logging and alerts. The goal is automations that hold up on real data, not just in demos.

How long does it take to build?

A discovery phase takes 2–3 weeks. A typical automation build runs 2–4 months depending on the number of workflows, integrations, and approval steps.

Do you provide support after launch?

Yes. Monthly retainers cover new automations, maintenance, monitoring, prompt and model upgrades, and cost optimization. Every project includes documentation and handover so your team can own and extend the automations.

My AI Automation Process

A structured approach to finding, building, and launching reliable AI automations.

Step 1

Discovery & Audit

1-2 weeks

We map your processes, rank automations by ROI, and define scope and success criteria.

Deliverables

Process and workflow audit
ROI-ranked automation map
AI vs rules decision per task
Initial delivery plan

Step 2

Design & Planning

1 week

I design agent workflows, integrations, and guardrails, and select models and infrastructure.

Deliverables

Automation and workflow design
Integration and data plan
Guardrail and fallback design
Milestones and implementation plan

Step 3

Build & Iteration

4-12 weeks (varies)

We build automations in iterative cycles, testing on real cases and incorporating feedback.

Deliverables

Working automation increments
Tests and evaluation on real data
Regular demos and updates
Issue tracking and progress reports

Step 4

Launch & Handover

2-4 weeks

We deploy to production, monitor runs, and stabilize with documentation and handover.

Deliverables

Production deployment
Monitoring, logging, and alerts
Operational docs and runbooks
Team onboarding and support window

Book an AI Automation Scoping Session

Start with a focused session or a free call to map what to automate first.

Start a Project

Get In Touch

16+ Years

For Consultation

Worldwide Remote