Services

Fix the operating truth before you automate the business.

Hadto helps service businesses get control of workflows, systems, and decisions through workflow design, ontology-backed domain modeling, custom software direction, and practical AI. Pick the offer that matches the most expensive problem in front of you.

What Hadto helps solve

Most operating problems do not start with a missing dashboard. They start with unclear definitions, fragmented systems, and decisions made from competing versions of the truth. That is where Hadto works.

Fragmented systems and reporting no one fully trusts.
Workflow definitions that change across teams, handoffs, and software.
Blocked operational decisions because schedule, margin, workload, or job status are not clear.
Automation or AI pressure landing on muddy business rules and weak source-of-truth boundaries.
Founder dependence that keeps management, succession, or owner-operator handoff trapped in private judgment.

Current offer set

These offers are packaged entry points. Each one starts with a buyer-visible problem and ends in usable decisions, reviewable design, or implementation readiness.

The current set follows Hadto's live research posture: home services for repeatable near-term packaging, professional services for differentiated niche depth, and founder-dependence work for owner-operator transfer readiness.

Home Services Ops Intelligence Retainer

A weekly operating review for home-service companies that need one clear picture of schedule pressure, callbacks, margin risk, and blocked decisions.

Who this fits

Best when recurring jobs, dispatch complexity, callbacks, or estimate-to-job leakage already create weekly fire drills.
Fits teams that already have field, office, and finance systems but do not trust the combined picture.
Works for buyers who want an operating rhythm, not a one-off dashboard project.

Buying shape

Monthly retainer with a weekly operating review and a monthly systems memo.

Expected timeline

Best judged over an initial 6-week setup and the first 90 days of weekly review.

Budget posture

$3,500 to $6,000 per month depending on job volume, branch count, and reporting sprawl.

What changes price

Price moves up when multiple branches, messy system exports, or deeper finance reconciliation are in scope. It stays closer to the floor when one operator team can meet from a narrower weekly scorecard.

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Professional Services Workflow Design

A workflow design engagement for firms that need engagement, time, and matter flow to line up across delivery, operations, and reporting.

Who this fits

Best when partners, operations, and delivery teams use different definitions for status, workload, or profitability.
Strong fit when the firm needs better operating control without replacing every system at once.
Use it when write-offs, intake handoff failures, or untrusted utilization reporting keep coming back.

Buying shape

Fixed-scope workflow design engagement with interviews, workflow mapping, and a prioritized repair brief.

Expected timeline

Usually 2 to 4 weeks from intake through decision packet.

Budget posture

$7,500 to $14,000 depending on team count, workflow sprawl, and how many systems need to be reconciled.

What changes price

Price moves up when the workflow crosses more practice groups, offices, or billing paths. It stays lower when one service line can be mapped with named owners and a bounded system surface.

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Ontology-Backed Domain Research & System Design

A design engagement for teams that need the business model, system rules, and source-of-truth boundaries clear before software, automation, or AI work moves ahead.

This is for teams that keep stalling because nobody agrees on the real business objects, workflow states, rules, or source-of-truth boundaries behind the work.

Who this fits

Best before a platform rebuild, workflow automation push, AI rollout, or major data cleanup effort.
Use it when stakeholders cannot agree on entities, states, roles, or source-of-truth boundaries.
Fits buyers who need a reviewable design package, not a vague discovery phase.

Buying shape

Front-end design engagement that produces a domain map, competency-question pack, and source-of-truth memo before build work starts.

Expected timeline

Usually 3 to 6 weeks depending on how much of the domain still needs to be named and reviewed.

Budget posture

$9,000 to $18,000 depending on domain breadth, stakeholder count, and the number of systems or reports that need source-of-truth decisions.

What changes price

Price moves up when the business model spans more teams, more conflicting reports, or higher-stakes system replacement decisions. It stays lower when the buyer needs one bounded model and one review cycle before implementation.

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Owner-Operator Founder-Dependence Audit

A transfer-readiness engagement for founder-led service businesses that need the operating method visible enough for a manager, successor, or owner-operator to inherit.

Who this fits

Best when the founder still acts as the hidden quality-control layer across customer memory, exceptions, pricing, or delivery standards.
Use it before hiring an operations lead, preparing for succession, selling a business, or turning a strong operator into an owner.
Fits teams that need a sober handoff packet and operating-risk map, not motivational founder coaching.

Buying shape

Fixed-scope transfer-readiness audit with founder interviews, workflow observation, dependency mapping, and a handoff repair brief.

Expected timeline

Hadto is not selling one-off consulting artifacts. The work is built to clarify the operating model first, then support better software, automation, and AI decisions with definitions that can survive implementation.

Not generic process consulting detached from implementation.
Not dashboard churn that leaves the underlying operating model unresolved.
Not AI projects built before the business objects, rules, and workflow states are clear.
Operational truth first so software, automation, and AI can rest on definitions that hold up.

Hadto versus an automation sprint or fractional AI CTO

Hadto sits earlier in the decision chain. The work is for teams that are still arguing about what the business objects are, where state changes happen, which rules govern handoffs, and which system should count as the source of truth.

If you automate before that layer is stable, you pay to move confusion faster. If you buy a dashboard before that layer is stable, you get a cleaner view of unresolved contradictions. If you start AI work before that layer is stable, you train it on shifting rules.

Hadto

Best fit

Teams blocked by disputed definitions, muddy workflow states, or software choices that keep moving because the operating model is not settled.

Risk handled

Stops you from paying to automate confusion or buying reporting on top of a broken source of truth.

Automation sprint shop

Best fit

Teams that already know the workflow, the rules, the inputs, and the handoffs and need somebody to build fast.

Risk handled

Gets implementation moving once the operating truth is already stable.

Fractional AI CTO

Best fit

Teams that already have decision rights, system ownership, and delivery priorities defined and need technical leadership across vendors or an internal build roadmap.

Risk handled

Helps sequence tools, vendors, and engineering choices after the business model is clear enough to govern them.

When Hadto is the right first move

Bring Hadto in before the build sprint when the team cannot agree on definitions, during system-definition disputes that keep resetting scope, or when software decisions stay blocked because nobody trusts the current operating picture.

Before an automation push that keeps running into exceptions, handoff failures, or data disputes.
During a platform rebuild when entities, states, and operating rules still change by meeting.
Before an AI rollout when the team still argues about what a job, customer, stage, or exception means.
Before a manager, successor, buyer, or owner-operator inherits work that still depends on the founder's private memory.

When to hire somebody else first

Hadto is not the right first buy for every team. The wrong fit is usually a company that already knows what it wants built and mainly needs delivery horsepower or technical management.

You already have stable workflow definitions, clear source-of-truth ownership, and a scoped build backlog. Pick an implementation shop.
You need an engineering leader to manage an existing product team, vendor stack, or platform roadmap. Pick a fractional CTO or AI CTO.
You want code shipped this month more than you want the business model clarified. Hadto is the wrong first buy for that situation.

What buyers get

The output is meant to be used. Buyers should leave with clearer decisions, stronger system direction, and artifacts that can guide real implementation work.

A clearer operating picture tied to the problem in front of the buyer.
Reviewable workflow, system, and source-of-truth definitions.
Usable decision support and implementation direction instead of a slide-deck graveyard.
Work that can compound into repeatable systems and stronger automation later.

Why these offers are structured this way

The packaging is narrow on purpose. It keeps the conversation tied to the operating failure a buyer already feels while still connecting that work to a broader systems-design approach.

Each offer starts from one expensive operating problem instead of blending strategy, delivery, and implementation into one pitch.
Every page shows the buyer problem, the deliverables, the proof behind the offer, and the next step.
The offers are packaged entry points into the same method: clearer operating truth, tighter workflow definitions, and better system direction.

Not sure where to start?

Start with the problem that is costing the most time or money. If the fit is still unclear, send the operating problem and Hadto will point you to the right offer.