We map how work actually moves through your business, not just how the process diagram says it should. Our AI automation consultants interview process owners, document manual workarounds and exception paths, and identify which workflows carry the highest cost from delay, error, or manual effort. The result is a ranked list of automation candidates instead of a guess based on whichever department asked loudest.
WHAT’S INCLUDED
We put a number on what each candidate process costs to run manually today, in hours, error rates and delay, then score it against implementation effort, expected savings and time to payback. The roadmap leads with the automations that pay for themselves fastest, and budget conversations stay grounded in numbers rather than enthusiasm for a specific technology.
WHAT’S INCLUDED
We build a phased plan that sequences automation initiatives against your budget cycles and your team's actual capacity to absorb change. Enterprises rarely fail at automation because the technology doesn't work. They fail because too many processes get automated at once with no one owning the transition.
WHAT’S INCLUDED
We provide vendor-neutral guidance on whether a process needs RPA, AI agents, or a hybrid approach, based on what the workflow actually requires. Gartner has noted that many vendors engage in "agent washing," rebranding existing RPA or chatbot tools as agentic AI without the underlying capability, which is why independent selection guidance matters before signing a platform contract.
WHAT’S INCLUDED
We build RPA bots that handle rule-based work such as data entry, reconciliation and report generation, and add AI where the process needs judgment, such as classifying requests, reading unstructured inputs or routing exceptions. The result is automation that keeps running when inputs are messy, instead of breaking on the first unexpected case.
WHAT’S INCLUDED
For processes that need reasoning across several steps and systems, we build AI agents that can read context, call tools and APIs, and complete tasks within defined guardrails. Every agent has clear limits on what it can do on its own and when it must hand over to a person.
WHAT’S INCLUDED
We automate document-heavy work such as invoices, claims, contracts and onboarding forms. Our solutions extract, validate and classify data from scanned and digital documents, then push it into your core systems, with low-confidence cases routed to a reviewer instead of being processed blindly.
WHAT’S INCLUDED
Automation only delivers value when it connects to the systems your teams already use. We integrate automations with ERPs, CRMs, ticketing tools and internal databases through APIs and workflow platforms, so data moves between systems without manual copying.
WHAT’S INCLUDED
We start with a contained pilot on one high-value process to validate the ROI assumptions from the roadmap. Once the pilot meets its success criteria, we harden it for production, then roll the same approach out to the next processes in the plan.
WHAT’S INCLUDED
Processes, systems and data change after go-live, and automations need to keep up. We monitor performance and exception rates, fix failures, and update bots and agents as your processes evolve, so the savings you planned for are the savings you keep.
WHAT’S INCLUDED
AI Engineers & Data Scientists
AI Solutions Delivered
AI Models in Production
Industries Served
Start with a roadmap backed by real numbers, then let the same team build, integrate and support the automation.
Structured sessions with process owners to surface where time and money are actually being lost.
Documenting current-state workflows, including manual workarounds, and ranking processes by feasibility, manual cost and time to value.
A phased plan with projected ROI per phase, built for a budget review rather than a slide deck.
Automating one high-value process to validate the ROI assumptions before scaling.
Building RPA bots, AI agents and integrations for the remaining processes in the roadmap, with testing at every phase.
Automation roadmaps often get built around whichever department raises its request loudest, not around which process delivers the best return. Xicom grounds every recommendation in cost and ROI data, and because the same team builds and supports the automation, our advice stays accountable to what can realistically be delivered.
Schedule a ConsultationWe're not paid by RPA or agentic AI platform vendors, so a tool recommendation reflects what the process needs, not a licensing relationship. When a process genuinely doesn't need agentic AI, we say so instead of building a business case around whatever's trending.
The consultants who assess your processes work alongside the engineers who build the RPA bots and AI agents, so nothing gets lost in handover and the architecture we recommend is one we have built before.
An automation roadmap without an ownership model is a liability waiting to surface. We define approval checkpoints and escalation paths as part of the roadmap itself, not as an afterthought once something breaks in production.
Whether you build with Xicom, your own team, or another vendor, the roadmap and process documentation are written to be usable by any implementation team, not locked to a specific engagement.
Cost depends on how many processes are involved, the depth of the roadmap and the complexity of the automation. A single-department assessment is a smaller engagement than an enterprise-wide strategy, and a rule-based RPA bot costs less than a multi-step AI agent that touches several systems. We share a scoped estimate after an initial discovery conversation rather than quoting a flat rate upfront.
Consulting produces an assessment, a prioritized roadmap, and a business case. Implementation builds the automation itself. Some clients need both; others already know exactly what they want built and can go straight to implementation.
If you already know which process to automate and have internal buy-in, you can go straight to build. Consulting earns its cost when there's real uncertainty about which of several candidate processes is worth automating first, or when the process spans systems and teams that have never been mapped together.
RPA works best for stable, rule-based tasks with structured inputs, such as copying data between systems or generating standard reports. AI agents are a better fit when a task needs judgment, such as reading unstructured requests, deciding the next step or handling exceptions. Many processes use both: RPA for the predictable steps and an AI agent for the parts that need reasoning.
We monitor performance and exception rates, fix failed runs, and update bots and agents as your processes and systems change. If you built with your own team or another vendor, the roadmap and documentation we deliver are written so any implementation team can use them.
It depends on the process, the number of systems involved and how clean the data is. A single-process pilot is the fastest way to see results, and larger programs are rolled out in phases. Every roadmap we deliver includes a timeline estimate per phase, so you know what to expect before development starts.
A single-department assessment typically runs a few weeks. A multi-department roadmap takes longer, depending on how many stakeholders need interviewing.