The same work is redone every week
Someone copies figures between two systems, checks them, and formats the result. It takes hours and it happens on a schedule.
Time spent, and errors that surface downstream.AI and operating systems build
From one prioritized use case to a system that runs
You receive a working system in production: the agents, the workflow, the integrations, the controls and the dashboard that shows whether it moved the number it was built to move. Tested before release, documented at handover.
What the build is fixing
The work that nobody owns and everybody redoes
A build earns its cost by removing a specific piece of recurring work. These are the six we are asked to remove most often.
Handoffs drop things
Work moves between people by email or message, and what each person needs to receive was never defined.
Rework, and a client who noticed before you did.Follow-up depends on someone remembering
The lead, the renewal or the quote gets chased when a person has time, in the order they happen to open their inbox.
Revenue that was already won gets lost.Knowledge sits in one person
The answer exists, in a document nobody can find or a head that is on holiday.
Wrong answers given confidently, and duplicated effort.The tools do not talk
Each system holds part of the picture and none of them holds the whole one.
No single view, so reporting is assembled by hand.The pilot works and never ships
A prototype proves the idea, then stalls on access, data quality, or the question of who supports it in production.
Investment spent proving something you already believed.What you receive
A running system, and everything needed to keep running it
Scope varies with the tier, and the shape does not. You get the specification the system was built from, evidence it was tested, and enough documentation to hand the work to somebody who is not us.
- Use case and success metric
- The one process being built, and the number that has to move for the build to count. Agreed before anything is configured.
- AI Agent Specification
- What each agent does, what it may see, what it may decide, and where it stops and asks a person.
- Workflow Automation Map
- Triggers, steps, branches and owners for the process as it will run once the system is live.
- Knowledge Base Setup
- Your documents, records and SOPs organized so the system retrieves the right one, with permissions that hold.
- System configuration
- Zoho CRM, your operating software or the new application itself, configured against the map rather than against a default template.
- Tool Integration Plan
- How the systems already in the business connect, what data moves between them, and what happens when one is unavailable.
- AI Risk and Guardrails
- The risk tier for this build and the controls that match it, including the human review points.
- Testing and Verification Report
- The evaluation set the system was measured against, and how it performed. You see this before release, not after.
- Deployment and Rollback Plan
- How it goes live and how it comes back out if it has to, written before it goes live.
- Handover Package and ROI dashboard
- Documentation, trained users, the metric wired to a dashboard, and the improvement backlog we did not get to.
Price and duration
Three tiers, set by the work rather than the budget
What decides the tier is the sensitivity of the data and how much the system decides on its own. A build that touches payments or acts without a person in the loop carries more testing, more controls and more evidence, and that is what the band pays for.
Tier 1
$1,500 to $4,000
5 to 8 weeks
A standard build on low-sensitivity data. Workflow automation, reporting, a configured system, an integration between tools you already run.
- Trigger: standard application, low sensitivity
- Managed operations from $750 per month
Tier 2
$4,000 to $12,000
10 to 19 weeks
An AI-enabled build touching personal or business data. Retrieval over your own knowledge, AI-assisted workflows, systems that make recommendations a person acts on.
- Trigger: AI-enabled, personal or business data
- Managed operations from $2,000 per month
Tier 3
$12,000 to $40,000+
20 to 40 weeks
Agentic, regulated or payment-handling work. Multiple agents coordinating, systems acting on their own conclusions, anything where a wrong output has a regulator or a bank behind it.
- Trigger: agentic, regulated, or payments
- Managed operations from $6,000 per month
Governance controls appropriate to the tier are inside the build price. Running the system after it goes live is priced separately, and you are not obliged to buy it. Setting up Zoho CRM for a small team is a defined engagement with its own page and its own price: see CRM setup for small business.
Proof
Two builds, and what they now do every day
AI-powered client profiling engine for an investment firm
A form submission became a full client profile through three agents running in sequence. What used to take an analyst a morning now completes before the prospect closes the tab.
Under 5 min form to full profile 8 weeks concept to delivery
Read the case study AI sales intelligence for a safety products distributor
Three agents went into a live territory covering more than 550 districts, with the human review points designed before the agents were built.
550+ districts per territory 6 weeks pilot timeline
Read the case study Fit
What a build needs from you before it starts
Four things have to be true on day one. Where one is missing, the assessment supplies it faster and cheaper than the build discovers it.
Ready to build if
- One process is prioritized and a named person owns it
- The source systems and where the data lives are identified
- The governance path for this workflow is defined, or FusionGuard is in scope
- The success metric is agreed before build starts, and you can measure it today
- An executive sponsor will clear access and make decisions inside a week
Start somewhere else if
- Several processes are candidates and none has been ranked. Go to FusionMap.
- Staff are already using AI on sensitive data with no rules. Go to FusionGuard.
- Adoption is the risk rather than the technology. Go to AI Systems Mastery.
- You need a small team on Zoho CRM and nothing more. See CRM setup for small business.
After go-live
Where a finished build usually leads
A system in production changes what the next constraint is. The handover package includes the backlog we did not get to, which is where most of these start.
Build the one that pays for itself first
Bring the process you would remove tomorrow if you could. We will tell you which tier it falls in and what it takes to get it running.