Frequently asked questions

Straight answers before you change how your operation runs.

Grouped the way we work: how the Operations Review starts things, how we keep your data secure, what kind of return automation delivers, and how your team ends up owning it all.

See it

Starting with the Operations Review.

Every Daloy engagement starts by seeing how your business actually runs. Here is how that first step works, and why it comes before anything gets built.

Why does every engagement start with an Operations Review?

Because the fastest way to waste money on automation is to point it at a process nobody has looked at closely. Layer AI onto a broken workflow and you just get faster failure. The Operations Review is the See it step. We map how your business actually runs before anyone talks tools, scope, or cost, so the fixes we recommend are aimed at where the operation is really leaking.

What actually happens in the review?

A focused 45 to 60 minute working session. We map how your real workflows move, find where work waits on one or two people, and put a rough number on what the biggest bottlenecks are costing in time and margin. It is a working conversation, not a sales pitch, and you leave with a clear read whether or not we work together.

Is the Operations Review really free, and what is the catch?

It is complimentary for qualified operators and there is no obligation to buy anything. We would rather understand your operation first than sell you a scope you do not need. If there is a fix worth making, we will tell you. If your real bottleneck is sales, pricing, or demand rather than operations, we will tell you that too.

How is this different from a generic AI strategy deck?

Most AI consulting hands you a roadmap and a slide deck, then leaves you to implement it yourself. We do the opposite. The review produces the two or three highest-leverage fixes, and from there we scope fixed-price projects and build the working systems with your team. You pay for a result, not for a quarter of someone's calendar.

Do we need clean data or documented processes before we start?

No. The point of the review is to see the work as it really is, mess included. You do not need decks, documentation, or a tidied-up tech stack. You need the people who know how the work actually gets done. We do the mapping live with you.

Fix it

The ROI of automating founder-led workflows.

Automation only earns its keep when it is pointed at the right workflow. Here is how we size the return before spending, and what realistic payback looks like.

How do you know automation will actually pay off?

We put a number on the bottleneck before anyone spends on a build. In the review we estimate the fully loaded hours a workflow burns each week, then weigh that against what a fixed-scope fix would cost. If the math does not work, we say so. We would rather walk away from a project than sell you one that will not pay back.

What kind of ROI is realistic?

For operations-heavy businesses, a tightly scoped fix on one repetitive, high-volume workflow typically pays back several times over in the first year and keeps paying with no new fee after that. The biggest returns come from high-volume work like document processing, reporting, and intake. We size the specific number against your real hours, not a vendor benchmark.

We are founder-led. Isn't our best work too dependent on judgment to automate?

Your judgment is not the target. The target is the repetitive work and the decisions that already follow clear logic but keep routing back through you because no system owns them. We automate and standardize those, which frees your judgment for the calls that genuinely need it. The point is to stop being the bottleneck, not to remove the founder.

Won't automating just give us faster mistakes?

It would if we skipped straight to tools, which is exactly why we don't. The Fix it stage redesigns and standardizes the workflow first, then puts AI on the parts that are genuinely repeatable. Process and software improvements often deliver more of the gain than the AI itself, and they are cheaper and more durable. We fix the process, then automate it.

How fast do we see a return?

We prioritize quick wins that ship in weeks, not strategic bets that take months to scope. A well-chosen first fix usually shows measurable results inside 90 days, and once it is live the next ones move faster because the review already mapped them. You prove the value on a small build before committing to anything bigger.

Do we have enough volume to justify this?

That is one of the things the review answers honestly. ROI scales with how often a task runs, so a workflow you touch a few times a month rarely justifies a build, while one that eats 10 or more hours a week almost always does. If the volume is not there yet, we will tell you, and we will point you at the simpler fix instead.

Own it

What it looks like to work with Daloy.

Fix it builds the systems. Own it hands you the keys. Here is how projects are scoped, how your team takes over, and who this is for.

What does a Fix it project actually look like?

Fixed scope, fixed price, agreed up front. We pick one workflow from the review, redesign how it moves, standardize how it gets done, and put practical AI on the repetitive parts. You see a working system on a real bottleneck, not a proof of concept that never ships. Scope is set so the return is clear and measurable.

Will our team be able to run this without you?

That is the whole point of Own it. We stay embedded through rollout, then hand over the keys. Your team is trained to operate and extend everything we build, the playbook is documented, and the system holds without us in the room. We are not trying to become a permanent line item on your P&L.

Are you going to lock us into a permanent retainer?

No. The model is See it, Fix it, Own it, and Own it means you own it. We price work as fixed-scope projects, not open-ended monthly fees. If you want us back for the next fix, that is your call to make, not a dependency we engineer in.

Who is Daloy a fit for?

Founder-led and mid-sized businesses where the work has outgrown the systems holding it together. That includes multi-location operators, professional services firms, and PE-backed portfolio companies tightening up operations before a raise or an exit. If you can feel the operation leaking time but can't point to exactly where, that is the signal.

How do we get started?

Request an Operations Review or book a short intro call. The intro call is a quick 30 minute conversation to gauge fit. If it makes sense, we scope the review from there. Either way, the first real step is seeing your operation clearly, and that is the part we do complimentary for qualified operators.

Trust

Keeping your data and your control intact.

Security concerns are one of the top reasons operators hesitate on AI. They are valid, so we scope them first. Here is how we handle access, training data, and control.

Is our business data safe when you bring in AI?

You stay in control of your data, systems, and decisions. Before we build anything, we define exactly what information is needed and who can access it. Most engagements work within your existing tools and processes, with access limited to only what's required. The objective is to make your business run better, not create new risk.

Will our data be used to train public AI models?

No. We use enterprise and business tiers where your inputs and outputs are excluded from model training by contract. Your operational data, customer information, and internal knowledge stay yours. We do not feed your business into public models to improve someone else's product.

Do you need access to everything we run?

No. We scope access to the specific workflow we are fixing. A document-processing automation does not need your bank logins, and a reporting build does not need your whole CRM. We start narrow, connect only what the project requires, and document exactly what is touched.

If AI is doing the work, are we still in control?

Yes. The systems we build execute the routine decisions you have already defined, and you keep final authority on anything that matters. You get visibility into what the automation is doing and why, the ability to override or pause it, and clear rules it has to follow. Good automation increases your control and your audit trail, it does not hand the business over to a black box.

What happens to the tools and data when the engagement ends?

Everything we build lives in your accounts and stays with you. That is the Own it stage. We hand over the keys, the documentation, and the access, and train your team to run and extend it. There is no vendor lock-in and no hostage data. The system is yours to keep.

Start here

Got the answers you needed? The next step is seeing your operation clearly.

Pick the part of the business that feels heaviest. The Operations Review is a focused working session on where time, margin, and continuity are leaking, and where AI would actually pay off. Complimentary for qualified operators.