Data, AI and Automation
AI and Automation
AI and automation services put software to work on tasks your people repeat every day, from answering routine requests to finishing multi-step jobs. Some of it only answers questions. The newer kind, often called agentic AI, carries out the steps itself: it resets the password, looks up the claim, opens the ticket.
- 5 companies on the shelf
- Coverage
Buyer's checklist
Eight questions that decide this purchase
Think these through before you buy. Answer what you can and your quote comes back faster. Skip what you cannot, and we will work through it with you.
- 01
Which single process goes first, and can you write down its steps today?
- 02
How much of that work do you expect the software to finish end to end, and what happens to the exceptions it hands to a person?
- 03
What data will it see, and must personal data be masked before it reaches any third-party model?
- 04
What is the AI allowed to do, and under whose permissions? An agent that can act needs the same access discipline as an employee.
- 05
Which systems must it connect to, such as your customer database, ticketing or accounting, and do ready-made connectors exist for them?
- 06
Who builds it and who runs it: your team, the vendor or a managed service?
- 07
Where does it run, and who pays for the computing: the vendor's hosting, your own cloud account, or your own premises for data that cannot leave?
- 08
What is your real go-live date: a pilot in weeks, or a build over a quarter or two?
CCBTS
No company matches every box you checked
That usually means the combination is rare, not impossible. Clear a filter, or add the service and we will go find who can do it.
Capabilities come from published supplier material. We confirm them for your addresses before anything is quoted.
More on what it is
You can buy it in three forms. A packaged application does one job and is ready to configure. A platform gives you building blocks to assemble into whatever you need. A managed service has a provider design it, build it and run it for you. Which form fits depends mostly on the skills you have in-house.
Under the hood a working assistant is built from several layers. There is a language model, tuned on or pointed at your own information. There is search across the places your knowledge lives, so the assistant can pull an answer out of a document library and summarize it on request. And there are connections into the systems where work actually happens, because an assistant that cannot reach the ticketing system cannot close a ticket.
You will meet it in four places. In customer conversations, where it answers, routes and coaches. That has its own page, CX and Conversational AI. At the IT service desk, where a few request types make up most of the queue. Inside security and network tools, as an advisor that explains a policy and recommends a fix. And in sales, where it tailors outreach to how a particular buyer communicates.
There is also a plainer need. Staff are going to use generative AI whether or not anyone approves it. A sanctioned, access-controlled place to do that keeps company data out of public tools.
Who needs it
- Your service desk spends its day on password resets, access requests and new-user setup.
- You have one well-defined recurring process, such as a claim or warranty lookup, that follows the same steps every time.
- Your contact center handles more conversations than anyone could review by hand.
- Your security or network team runs a complex platform without deep expertise on staff.
- Your people are already pasting work into public AI tools, and nobody has decided what is allowed.
If you cannot yet describe the process step by step, you are not ready to automate it. Map it first. That work pays for itself even if you never buy the software.
Signs you need it
- A handful of request types dominate the queue, and each one follows the same steps.
- Customers wait too long, or nobody answers after hours.
- Your current chatbot handles simple questions and hands off anything with more than one step, so a person ends up doing the work anyway.
- Quality review covers a small sample of conversations, so you hear about a problem only after a customer complains.
- Support quality varies a lot from one agent to the next.
How IT Raven helps
This is the category where buyers get oversold most, so we start with the process you want to hand off and work backward to the product. Add AI and Automation to your quote list and describe that process. A person takes it to the AI and automation providers in our 500+ partner network and narrows the field on what matters for you: how your data is handled, where the system runs, what it connects to, and who will build and operate it.
We will also tell you what the suppliers' own material admits. These projects are often under-planned and under-budgeted once the real scope appears: governance, data upkeep and the care of the agents after launch. Connecting to older systems is a common obstacle. Starting narrow keeps the first deployment small enough to prove.
We keep one thread through the pilot scope, the security review and the rollout. If the project needs GPU capacity or a private place to run, we quote Cloud and IaaS or high-density Colocation alongside. When the first process works, the same team helps you pick the second.
How buying works
The store is the easy part. Staying on the account is the job.
Anyone can show you logos. The reason to buy here is what happens on install night, and on the ticket you open nine months later.
- 01
Build your quote list
Add services and companies as you shop. No form stands between you and the shelf.
- 02
We bring back real options
A person shops the bench against your addresses, then walks you through what fits and what does not.
- 03
We handle the order and install
Paperwork, site survey, install dates, cutover night. You get one thread, not five vendors.
- 04
We stay on your account
Same team for moves, adds, tickets and the next renewal. That is the part everyone else drops.