Visibility
Make the business understandable and discoverable to customers, search engines, and AI answer tools.
TaskChad installs the revenue system that helps established service businesses get found, earn trust, capture demand, respond while intent is high, and keep follow-up moving without making the owner the routing layer.
Get found. Earn trust. Capture demand. Respond. Follow up. Keep control.
Most revenue leaks do not live inside one tool. They appear between the website, the proof, the call, the handoff, and the next step. TaskChad connects those links around one named business outcome.
Make the business understandable and discoverable to customers, search engines, and AI answer tools.
Give buyers clear evidence, useful answers, and enough context to choose the business before they contact it.
Turn attention into an identifiable opportunity through calls, forms, quote flows, booking paths, and chat.
Handle documented questions, intake, qualification, and routing while customer intent is still high.
Keep quotes, appointments, documents, and next steps from going quiet after the first contact.
Remove repetitive coordination while preserving owner approvals, visibility, and control.
The website, calls, forms, follow-up, and reporting sit in separate systems. The business owner becomes the person who notices every gap and pushes every next step.
The work is designed around the diagnosed constraint, explicit approvals, defined handoffs, and a measurement plan the operator can inspect.
Score visibility, trust, capture, response, follow-up, and owner dependency. The result names the highest-priority leak and a useful first action without requiring a call.
Demand, team, tools, owner load
Search, proof, calls, forms, response
Quotes, appointments, documents, next steps
First action and implementation fit
TaskChad publishes an outcome only when the source, evidence owner, date, allowed surface, caveat, and expiration are recorded. Until every gate is satisfied, the claim stays off this page.
Three public starter scopes connect the redesigned site to a real customer path while preserving TaskChad’s human QA and production controls.
$299 setup
Approved answers, lead intake, and safe handoff on the website.
Scan and test my siteDetails and pricing →$499 setup
Inbound call handling, bilingual intake, and reviewed routing.
Build and test the voiceDetails and pricing →$699 setup
Voice and chat built from one approved business specification.
Build my front deskDetails and pricing →Configure a voice agent, simulate a chat flow, or shape a website concept inside visible boundaries. Production actions remain locked until review.
Configure approved business facts, call behavior, qualification, and escalation rules in a controlled receptionist preview.
Open studio ›Scan the website, approve sourced business facts, preview the brand, test the model sandbox, and choose self or assisted installation.
Open studio ›Prepare the bounded chat activation from approved website facts while keeping phone routing and voice behavior on the reviewed path.
Open studio ›Shape the message, section order, and responsive direction for a service-business site before implementation review.
Open studio ›Running a law firm, dental office, or home-services company? See the AI receptionist built for your industry, with real pricing and setup costs.
TaskChad turns owner expertise, customer questions, reviews, service knowledge, and approved operating evidence into useful content without manufacturing authority the business has not earned.
Calls, forms, conversations, and bookings are connected to content only where the attribution is supportable. Activity is not presented as revenue proof.
These existing paths remain available when the operator already knows the problem. TaskChad still recommends the smallest responsible intervention.
A reviewed voice receptionist and website chatbot built from one approved business specification.
Explore ›Website structure, search visibility, lead capture, and connected follow-up.
Explore ›Documented call handling, intake, message capture, and routing for service businesses.
Explore ›A focused response path for new leads that should not sit untouched.
Explore ›Structured reminders, next steps, and recovery workflows after the first contact.
Explore ›Bounded internal roles built around the business's approved processes and tools.
Explore ›Scan, configure, and test the customer experience before choosing an activation path.
Explore ›Solve one measured leak with explicit scope, exclusions, approvals, and success criteria.
Connect multiple layers around one business outcome with design, implementation, QA, launch, and a defined tuning period.
Keep TaskChad close to the revenue system for ongoing diagnosis, prioritized improvements, and accountable operation across approved functions.
Every recommendation names the constraint, scope, exclusions, approvals, measurement plan, and next responsible step before implementation begins.
TaskChad operating records separate the problem, the system installed, the proof state, and the boundary of what can be claimed.
Review the workWhere the customer journey or operating handoff breaks
What TaskChad designed, connected, and tested
Source, owner, approval, date, and caveat
Published only when the evidence gate is complete
TaskChad combines direct founder oversight with a specialist AI-agent workforce. Each function has a defined role, external actions follow the approval rules agreed for the engagement, and TaskChad remains accountable for the work.
These are delivery functions, not fictional employee biographies or a claim about human headcount. Human specialists are disclosed if an engagement actually uses them.

Pedro Mendoza founded TaskChad and provides oversight for strategy, risk, approvals, and high-stakes customer decisions.
Specialist AI agents perform defined research, content, implementation, QA, and monitoring functions under TaskChad operating rules. TaskChad remains the company, the accountable relationship, and the owner of the final work.
About TaskChad ›Practical notes on visibility, trust, response, follow-up, and operating with accountable AI systems.