AI, Data & Tech Implementation as a Month-to-Month Service
We help companies and investors turn workflow, data, and tech problems into working systems: cleaner data, practical tools, automations, dashboards, and AI where it genuinely improves the work.
We reply within 1 business day.
- Entry retainer
- starting from $4,000/month
Month-to-month service, cancel anytime.
- First priority
- 1 workflow
We start where value, data, and speed line up.
- Team shape
- AI + data + tech
One team fixing the process, the data, and the tools together.
Most AI projects fail in the space between demo and daily work.
A useful system needs more than a model. It needs a workflow people can follow, data people can trust, tools that fit the job, and review points that keep the business in control.
Workflow friction
The work stalls in inboxes and spreadsheets, waiting on a handoff or a judgement call that nobody clearly owns.
Data you cannot trust yet
Reporting and automation break when the numbers are scattered across tools and never quite line up.
The pilot nobody uses
The first version is rarely the finished one; people need a tool they will open, a review they trust, and steady fixes.
A slow workflow is rarely one broken thing.
You do not have an AI problem. You have a workflow that costs your team hours every week. Usually, the steps are messy, the data cannot be trusted, or one spreadsheet holds the process together. Each month, we fix what is actually in the way and add AI only where it beats the work your team already does by hand.
The steps themselves
We trace where the work really starts, where it keeps getting redone, and which decision everyone is stuck waiting on, then cut the steps that only exist because nobody ever fixed them.
The data underneath
Reporting and automation both fall apart when the numbers live in five places and never quite agree, so we clean up and connect the handful of fields the workflow actually runs on.
A tool your team will open
The work that matters is usually trapped in a spreadsheet one person babysits, so we build the tracker, dashboard, or small app your team reaches for instead.
The handoffs between systems
Nobody should be re-keying the same order from an email into your CRM, so we wire the systems together and let the reminders, updates, and routing happen on their own.
AI, where it earns its place
AI does the first draft and the digging: it reads the document, drafts the reply, finds the record. A person still decides and signs off, and we only use it where it beats doing the work by hand.
The part that makes it stick
Most pilots die by month three because nobody owns them, so we watch your team use the thing on real work, cut the friction, and only then move to the next workflow worth fixing.
Concrete starting points, not generic transformation work.
These are examples of the kind of workflow we would improve first. The exact first workflow depends on your business, systems, team, and where the payoff is clearest.
Lead qualification and follow-up
Leads arrive from forms, referrals, events, and email, but qualification, CRM hygiene, follow-up, and handoff are inconsistent.
We connect intake sources, define qualification rules, clean CRM fields, automate reminders, draft follow-up support, and create a pipeline view.
Faster response, cleaner pipeline visibility, fewer missed follow-ups, and a workflow sales leaders can review.
Proposal and quote turnaround
Discovery notes, pricing inputs, scope decisions, approvals, and delivery handoff live in different places, so proposals slow down when the deal is warm.
We define the proposal workflow, connect opportunity data, scope inputs, pricing assumptions, approval rules, and reusable content, then support first drafts and handoff checks.
Faster quote turnaround, clearer review control, fewer scope surprises, and a sales-to-delivery workflow that does not depend on chasing.
Invoice-to-cash and collections
Invoices are assembled from delivery data by hand, reminders are ad hoc, and nobody has a clean aging view until cash is already late.
We connect billing and delivery data, standardize invoice status, automate reminders, build aging views, and create an exception queue for disputed or overdue items.
Faster cash collection, fewer overdue surprises, less manual chasing, and clearer ownership of the next action.
KPI dashboards and management reporting
KPI dashboards and monthly reporting depend on exports, spreadsheet cleanup, manual commentary, and last-minute checks before leadership review.
We connect source data, define KPI logic, build management dashboards, add exception checks, and support first-draft commentary where useful.
A repeatable reporting rhythm with clearer numbers, less manual assembly, and dashboards leaders can trust for review.
Rebuilding a custom CRM so the system can reason over the firm's work.
Project Titan maps closely to this service: connected entities, a workflow dashboard, and an AI agent on the same source of truth.
Use the service when the problem is too practical for strategy slides and too cross-functional for one software tool.
The best starting point is usually a workflow that already matters to the business, but is still too manual, slow, hard to measure, or dependent on a few people.
A manual workflow keeps slowing the team down
Approvals, updates, research, reporting, onboarding, follow-up, or exception handling still depend on people chasing information.
The data exists, but reporting is still painful
The team can get the answer, but only after exports, spreadsheet work, cleanup, commentary, and manual checks.
You have tools, but the work lives between them
Your CRM, your finance tools, and your project system all exist, but the actual work still runs on informal workarounds between them.
AI is promising, but the demo is not the hard part
The real question is where AI should sit, what data it can use, what humans review, and how the output becomes part of the process.
A month-by-month implementation rhythm.
The service is deliberately simple: start with the highest-value workflow, ship something usable, learn from real use, and keep improving.
Choose the workflow and map how it works today
We map the current workflow, find the bottlenecks, clarify the business goal, and decide what should be built first.
Connect the data and systems behind it
We clean the key inputs, define the fields and rules, connect the relevant tools, and set up the checks needed for trust.
Build and ship the first usable version
We build the dashboard, custom tool, automation, workflow app, or AI-assisted step needed to make the workflow easier to run.
Improve, support adoption, and expand
We monitor usage, tune outputs, fix friction, train users, and decide whether to deepen the workflow or move to the next one.
The best first workflow is not the flashiest AI use case.
We look for a workflow where better systems can create visible progress quickly without creating a fragile project that nobody uses.
Will this improve revenue, margin, speed, client experience, risk, or decision quality?
Can we ship a useful first version with the systems, people, and access available now?
Is the data good enough to support reporting, automation, or AI with the right cleanup?
Will the workflow fit how people work, and is there an owner who can help it stick?
Can we show progress quickly enough to build confidence and momentum?
Month-to-month implementation,
not another tool.
We start with one valuable workflow, fix the data and tools around it, ship a usable improvement as fast as it is ready, and keep iterating until it is part of the way the business runs.
Designed for practical implementation, not advisory slides.
We reply within 1 business day.
The thinking behind the service is already public.
See how we choose, cost, design, and operate real AI, data, and tech improvements before you ever get on a call.
Common questions
Have more questions? We're happy to help.
How does the service work?+
We work with you month by month as a flexible implementation team. We align on the highest-priority workflow or system, ship improvements as soon as they are ready, and keep iterating. You can cancel anytime.
Is this only for AI projects?+
No. AI, data, and tech sit at the same level. Some problems need AI. Others need cleaner data, better dashboards, custom tools, integrations, or automation. We use the right mix for the workflow.
What do we work on first?+
We start by mapping where work is slow, manual, fragmented, hard to measure, or ready for better systems. Then we prioritize the first workflow based on value, feasibility, data you can trust, adoption, and speed to impact.
Can you work with our existing team and tools?+
Yes. We are designed to work with your current systems and people. We only recommend replacing tools when the business case is clear.
What happens if we need a bigger build?+
The service can support ongoing implementation. If the work becomes larger than the monthly scope, we can shape a fixed project or larger team around it before expanding.
Tell us the workflow you want fixed.
We'll come back within 1 business day with how we'd approach it and where we would start.
We reply within 1 business day.