Most companies know they need AI, but turning that knowledge into something that actually works day after day feels overwhelming. This service makes it surprisingly practical. A one-person agency that installs a full AI harness — skills, tools, agents, and evaluation systems — around your existing model in just two weeks, then steps back and lets your team take over. No endless retainers, no junior developers billing hours, just a clean handoff of something you fully own. I’ve spoken to founders who tried building this internally for months and were shocked at how fast and complete the setup felt once they brought in this focused approach.

Introduction

Building reliable AI workflows is hard. You need the right tools connected, agents that actually do useful things, proper evaluation so things don’t drift, and everything wrapped in a way your team can actually control. Riggd specializes in doing exactly that. They don’t just consult or build one-off features — they install a complete, production-ready harness that stays running long after they leave. Their own tools (Tulsk and Banana Flow) are battle-tested on real client work, which gives them a huge advantage over agencies that only talk in slides. For SMEs that want serious AI capability without building a whole team, this is one of the cleanest paths available right now.

Key Features

User Interface

The process is deliberately straightforward. You start with a short discovery call, get a fixed-fee proposal within 48 hours, and then move into a focused two-week setup. There’s no complicated project management tool or endless status meetings. Communication stays light and outcome-focused, with clear milestones and a final handoff session where your team learns how to run everything themselves. It feels less like hiring an agency and more like getting a highly skilled friend to set everything up properly before stepping away.

Accuracy & Performance

Because they ship their own infrastructure (Tulsk), the setups are production-grade from day one. MCP servers, agent runners, eval engines, and custom skills are configured to work reliably, not just in demos. Clients report that the workflows actually deliver consistent results instead of breaking after a few weeks. The two-week timeline forces focus, so you get something solid and usable rather than half-finished experiments.

Capabilities

They connect your model to real tools via MCP servers, build useful agents, set up proper evaluation systems so performance doesn’t degrade, and create custom workflows that match how your team actually works. Everything is exportable and yours to keep — no lock-in. Plain-language control means non-technical people can guide the system without writing code. It’s designed for companies that want AI that works in the real world, not just in presentations.

Security & Privacy

Your data and workflows stay under your control. The setup is delivered in a way that gives you full ownership from day one, with clear export options and no hidden dependencies. For companies handling sensitive information, that transparency and lack of ongoing vendor lock-in provides real peace of mind.

Use Cases

A Singapore SME installs an AI workflow that automates customer support triage and report generation, freeing their small team for higher-value work. A content team sets up agents connected to their own tools for faster asset creation and review. A professional services firm builds custom evaluation systems so their AI-assisted deliverables stay high quality. The common theme is companies that want practical, reliable AI without hiring a full AI engineering team or getting stuck in long-term retainers.

Pros and Cons

Pros:

• Fixed scope and fixed fee — no surprise hourly billing.
• Two-week delivery keeps momentum high and scope realistic.
• You own everything after handoff — no ongoing dependency.
• Uses their own proven tools (Tulsk, Banana Flow) instead of just theory.
• Focused on real business outcomes rather than flashy demos.

Cons:

• Selective about projects — they only take on work they’re confident they can deliver well.
• Two-week timeline requires clear goals and good collaboration from your side.

Pricing Plans

Pricing is fixed-fee based on the agreed scope after a short discovery call. No hourly rates, no monthly retainers. They also have PSG pre-approval in Singapore, which can help eligible companies offset costs. The model is transparent: you know exactly what you’re paying for and what you’ll own at the end.

How to Use Riggd

Book a 30-minute discovery call through their site. Answer a few questions about your current setup and goals. If it’s a good fit, you’ll receive a fixed-fee proposal within 48 hours. Once accepted, they handle the heavy lifting over two weeks — connecting tools, building skills and agents, setting up evaluations, and training your team. On day 14 you get full ownership of the workspace and a 30-day check-in for any adjustments. Simple, focused, and effective.

Comparison with Similar Tools

Traditional agencies often bill by the hour and create ongoing dependency. Pure self-serve platforms require significant technical expertise most companies don’t have. Riggd sits in the valuable middle: expert installation with a clean handoff, fixed pricing, and tools built from real client problems. It’s not the cheapest option, but for companies that want something that actually works long-term, the clarity and ownership it provides are worth it.

Conclusion

Getting useful AI into your company shouldn’t be an endless project or a black box you don’t control. Riggd offers a refreshingly practical path: fast, focused setup by someone who’s done it many times, followed by full ownership so you can keep improving it yourself. For growing companies that need real AI capability without building a whole new department, it’s one of the smartest moves available right now.

Frequently Asked Questions (FAQ)

How long does the whole process take?

Two weeks from kickoff to handoff, plus a 30-day support period.

Do we need technical expertise on our side?

Not much. They handle the complex setup and train your team on how to use and extend it.

Is there any lock-in after the project?

No — everything is exportable and yours from day one.

Who is this best suited for?

SMEs and teams that want production-ready AI workflows without building an internal AI team.