Where your project stands
An honest status of the application, process, or initiative: what works, what is fragile, and what nobody has written down.
AI automation · Modernization · Technical diligence
Put AI to work on the work that repeats.
We build AI workflows and agents that hold up in production, modernize the legacy systems in their way, and assess software for investors. Every engagement starts with a 30-day assessment, so you know where you stand before you commit.
Mapping your workflow…
Every engagement starts the same way. A 30-day assessment tells you where the project stands, what your options are, and how long the work will take.
AI automationModernizationPE diligence
How every engagement starts30day assessment
Before anyone proposes a build, we spend thirty days inside your systems and process. You finish with a clear picture of where you stand and a roadmap you can act on, with us or with anyone else.
Start a 30-day assessment Fixed scope · read-only access · written findings you keepA 30‑day assessment. Six answers in writing.
What you can do about it
Practical options with trade-offs, including doing less than you planned or nothing at all.
Which tools will help
The AI, automation, and engineering tools that fit your stack and team, and the ones that would be hype for your case.
What to improve in the process
Where handoffs, approvals, and ownership slow the work down, independent of any technology.
How to upgrade the legacy system
If you want it: a path from the older system to a modern one without a big-bang cutover.
How long it takes, and the roadmap
A phased plan with durations, dependencies, and decision points for the migration or modernization work.
Week by week
What happens in each of the four weeks.
Kickoff and scope
We walk you through our in-house analysis system, which scans your code, repositories, and databases, and agree exactly what the assessment will cover and what you will receive.
- Scope, systems, and people agreed
- What you will get: architecture, workflows, recommendations, timeline, risks
- A go or no-go decision before any access is given
NDA, access, and the scan
Once you are ready to proceed, we sign an NDA and you grant read-only access to the necessary repositories and databases. Then our system runs.
- NDA signed, read-only access granted
- Data lineage traced across code and databases
- Workflows and dependencies identified
Verify and weigh the options
Senior engineers verify what the system found in working sessions with your team, and capture what is not written down anywhere.
- Findings confirmed or corrected with your people
- Options, tools, and process fixes compared
- Legacy upgrade paths tested against your constraints
Roadmap and readout
You receive the written findings and we walk the decision makers through them.
- Overall architecture and workflow documentation
- Recommendations and risks, in priority order
- Timeline and roadmap for the work
Who is behind AICO Services
Built and delivered by Trobus Technologies.
A Maryland-based engineering company. AICO Services is how we package our AI automation, modernization, and assessment work. Our engineers have delivered for organizations including these.
Organizations represented in the broader Trobus Technologies delivery history. Engagement scope and team role vary; reference details are shared where authorized.
Delivery recordRepresentative production engineering record. Details available where authorized.
4systems in production4 yrscontinuous operation990+automated tests1,361commitsCompany qualifications
Credentials maintained by Trobus Technologies, LLC
MBE
Minority Business Enterprise
MDOT
Maryland DOT certified
SBA WOSB
Woman-Owned Small Business
WOSB
Women-Owned Small Business
E-Verify
Participating employer
AI automation
AI that does real work, not a demo.
Workflows on n8n, Zapier, Make, and custom code. Agents with a defined job, limits, and tests. Every build is measured against the work it replaced.
01
AI workflows
Explore this service 02AI workflow automation
We design and build AI-powered workflows with n8n, Zapier, Make, and custom code, so requests, documents, and decisions move on their own while people stay in control of the exceptions.
AI agents
Explore this service 03AI agents
We build narrowly scoped agents with defined tools, guardrails, evaluations, and human handoff, so they complete a job your team can measure instead of impressing a meeting.
AI document processing
Explore this service 04AI document processing
We capture information from forms, documents, inboxes, and partner systems, validate it, and move it into the right business tools with human review only where judgment is needed.
AI knowledge
Explore this service 05AI knowledge assistants
We build internal assistants that answer questions from your policies, contracts, tickets, and manuals, respect who may see what, cite their sources, and say so when they do not know.
AI-assisted modernization
Explore this service 30AI-assisted modernization
We use AI to read legacy code, extract business rules, draft documentation, and generate tests, with senior engineers verifying every finding. Then we integrate, wrap, or replace only what blocks you.
Not sure where AI fits?
Start an assessment Start with the 30-day assessment
We look at the process and the tools around it, then tell you in writing what is worth building, with what, and in which order.
How it works
Diagnose → Design → Build → Measure.
No vague transformation program. We choose a valuable workflow, define how it should operate, ship it safely, and prove whether it helped.
Diagnose
Observe the real workflow, quantify repetitive effort, identify failure points, and choose the highest-value place to begin.
Design
Define triggers, decisions, data movement, human review, exceptions, ownership, and success measures before implementation.
Build
Deliver a production workflow in small testable increments, connected to the tools your team already uses.
Measure
Track time saved, errors prevented, throughput, reliability, and adoption—then improve what the evidence supports.
Engineering behind the AI
Simple for your team. Reliable underneath.
Software development, data engineering, machine learning, cloud infrastructure, and security are supporting capabilities. We bring in only what the workflow needs, and we say so when AI is not the answer.
Start with the 30-day assessmentBusiness outcome firstEvery build begins with a measurable operational problem and a named owner.
Humans stay in controlApprovals, exceptions, audit history, and escalation are designed into the workflow.
Your team can operate itReadable code, monitoring, runbooks, and knowledge transfer prevent hidden dependency.
NO-HYPE
PROMISE
PROMISE
Before you commit
Discuss the assessment No platform pitch. No AI hype. A written answer in 30 days.
If clearer rules, cleaner data, or better ownership should come before automation or modernization, the assessment says so in writing.
2 free PDFs · Specification + sample report
See exactly what the 30 days deliver.
We email you the 2-page specification and a 13-page sample report written for a fictional company: findings, options compared, recommended tools, target architecture, risks, and a 40-week roadmap.
- Assessment specification
- 13-page sample report
- Architecture, risks, roadmap
Questions, answered
Assess first. Build what is proven. Expand deliberately.
Thirty days of evidence costs less than one quarter of building the wrong thing.
What is a good first process to automate?+
Look for work that is repetitive, frequent, rule-driven, and measurable—especially when it requires copying data, checking statuses, assembling reports, or moving information between tools.
Do we need to replace our existing software?+
Usually not. We first look for safe ways to connect the tools you already use. Replacement is considered only when the existing system makes reliability or change unnecessarily difficult.
Where does AI fit, and where is it hype?+
AI is useful for reading, extracting, classifying, summarizing, drafting, and narrowly scoped agent work. It is hype when it has no defined job, no limits, and no way to measure quality. Deterministic rules, human review, and audit history stay around important decisions.
Can you work within our existing environment?+
Yes. We design around your current tools, security requirements, cloud environment, data constraints, and team capabilities.
What happens in the 30-day assessment?+
We work inside your systems and process with read-only access. You receive six written answers: where the project stands, what you can do about it, which tools will help, what to improve in the process, how to upgrade the legacy system if you want to, and how long the work takes with a roadmap.
Which tools do you build with?+
n8n, Zapier, Make, and Power Automate for workflows, Claude and OpenAI models for AI steps and agents, and custom code where volume, testing, or cost demands it. The assessment recommends what fits and says why.
Assessment preparation
Tell us what the assessment should focus on.
Three quick choices—no email, no submission, and no information leaves your browser.
Question 1 of 3
What is slowing the team down?
30-day assessment
Start a 30-day assessment Know where the project stands in 30 days.
Status, options, tools, process fixes, an upgrade path, and a roadmap with durations. It starts with a conversation about scope.