01 Lead flow
Good enquiries should not wait for someone to remember.
Capture, route, qualify, and prepare follow-up for inbound leads. The right person gets the right context before an opportunity goes cold.
Operational software for growing teams
Make the workflow your team carries by hand reliable.
In 30–45 days, ZenRocket builds operational software around one costly, repeated workflow—so the right context, owner, and next action are clear. AI prepares the work. Your people decide.
- 30–45 days
- From one important workflow to a live system.
- Direct engineering
- You work with the person building it.
- Human approval
- AI prepares the work. Your team decides.
- Built to run
- Hosting, maintenance, and improvements after launch.
Good people should not need heroic effort to do good work.
When leads are missed, client context is buried, or projects slip, the problem can look like the team. More often, people are compensating for scattered information, unclear handoffs, and software that does not fit the business.
Your team is not the bottleneck. Your systems are.
Start with the workflow costing your team the most.
02 Client delivery
A client should not have to chase to find out work is drifting.
Connect client context, proposals, project phases, tasks, and updates so the next commitment is clear to the people responsible for it.
03 Knowledge
Your team should not need to ask who was in the room.
Turn conversations, documents, and decisions into source-backed context your team can find and use in the middle of real work.
04 Operating foundations
Your people should not have to work around the system.
Build the CRM, workflow, approval, and reporting layer that fits how your company actually runs.
We start with one workflow that is expensive to keep carrying by hand.
Built around real work, not feature lists.
Different businesses. The same standard: one specific workflow, clear boundaries, and people in control of consequential decisions.
Property operations
Tampah Agent
Conversations, lead context, documents, and daily priorities in one place. Reply drafts wait for human review.
- Conversation and lead context in one place
- Reply drafts that wait for human review
- Pipeline, document, and daily brief workflows
It helps the business remember without giving AI permission to speak for the team.
Conversation intelligence
ChatX
WhatsApp messages, voice notes, and video become a searchable knowledge base with cited answers.
- Six-language translation into English
- Searchable transcripts and media
- Cited answers across the inbox
ChatX answers from source material and declines when the source does not support an answer.
Technical diligence · Luma for Thrive Real Estate
A property operations system built in a 30-day sprint.
Luma turns WhatsApp chats into a sales pipeline with transcripts, translations, and a daily brief. The owner can ask Luma about any buyer or past conversation.
“This is real engineering, not a quick AI-generated patchwork. The tech stack is sensible, the code is well separated, and the project includes migrations and a proper test suite. That matters because AI-assisted changes become much safer when you can immediately verify that nothing broke.”
What changes when the system fits the work.
- 1
Capture context
Messages, documents, and records stop living in separate places where only one person can find them.
- 2
Make the next action clear
The system prepares the right context, draft, or task so the team spends less time chasing information.
- 3
Keep people responsible
Sensitive communication and commitments wait for a person to review and approve.
- 4
Learn from real use
The system improves around the work your team actually does after it goes live.
Technology should return attention and agency to people.
From one costly workflow to a live system in 30–45 days.
Days 1 to 7
Map the conditions
We trace how the work moves today, where context is lost, what it costs, and where a person must stay in control.
Days 8 to 30
Build with the team
We build the smallest system that changes the outcome and put it in people’s hands while the work is still happening.
Days 31 to 45
Run, test, and improve
We fix what real use exposes, document the boundaries, launch, and agree how the system will be maintained.
A good fit when
- Your team is carrying repeated work through chat, inboxes, spreadsheets, or memory.
- A better workflow would affect revenue, client experience, delivery, or risk.
- You can name one important problem to solve first.
- You want AI to prepare work while people retain judgment.
Not the right fit when
- A good off-the-shelf product already solves the problem.
- You want AI to replace people or send customer communication without approval.
- There is no clear workflow or accountable owner to improve.
Who you work with
The person on the call is the person who builds it.
ZenRocket AI is run by Mwzimba Russeau, a principal AI engineer. Before building AI systems, Mwzimba led web development at a Japanese startup, worked as a freelance SEO specialist, and reported from war zones as a journalist. Journalism trained the skill this work depends on most: finding out how a business really runs before writing a line of code.
Mwzimba uses code to change the conditions that keep good people overwhelmed. That means honest scoping, source-backed answers, human approval, and systems that leave a team with more attention for the work only people can do.
Questions before we start.
What kinds of systems do you build?
Lead flow, client delivery, knowledge, and operating systems. The common thread is one costly workflow that generic tools handle badly.
Can this include a Second Brain?
Yes. A knowledge system is one offer, not the whole company. It can sit alongside lead, delivery, CRM, and reporting workflows.
What can be live in 30–45 days?
One important workflow with the context, actions, and approval points your team uses every day. The system can grow from there based on real use.
Where does my data live?
On managed infrastructure or a server your company controls. We agree the access boundaries before we build.
Will the AI message customers for us?
Not without an approved change to the system. ZenRocket starts with drafts and human approval for sensitive communication.
How do you decide whether to build or buy?
If a good off-the-shelf product solves the problem, we will tell you to use it. We build when your workflow, judgment, or data is part of how your business wins.
What happens after launch?
We can keep the system running with hosting, monitoring, backups, model updates, and improvements based on how the team uses it.
Do I need a technical brief?
No. Bring the part of the work that keeps getting missed, rebuilt, or stuck.
What is your team carrying that a system should hold?
A missed lead, a fragile handoff, or a process that only one person understands is enough to start.
Map the workflow costing your team most