Services
From strategy to your bottom line.
Strategy
Most AI roadmaps fund the wrong work first.
Your AI vision, stepped out in actions. Whether that's a single step change or large-scale transformation, you get a sequenced plan showing what to fund, what to defer and what to leave alone.
What we do
We look at where time and money go across your operation, then model where AI changes the cost base and where it doesn't. The findings come from your operations, not a vendor roadmap.
What you get
- A ranked list of AI opportunities scored by operational impact, implementation cost and risk
- A recommended sequence: what to do first, what to defer, what to leave alone
- A short written assessment your board, your CFO and your operational leads can all act on
- Honest recommendations on where existing technology already covers the gap, so you aren't buying twice
Approach
Four to six weeks. Workshops with operational leaders, technical discovery across existing systems, then a written assessment with options.
Implementation
Most AI pilots demo well. Then they never reach daily operations.
demos well. then stalls.
Your workflows enabled by AI, with the skills, infrastructure and processes your team needs to keep them running long after we leave.
What we do
We build working AI agents and the workflows they sit inside, integrating with the tools your team already uses rather than adding a new platform to maintain. We stay until the agents are running cleanly and the work has visibly shifted off the people who used to do it.
What you get
- Working AI agents that take real operational tasks end-to-end: reconciliation, approvals, reporting, data movement, decision support
- Integration with the systems your team already uses, not a new platform to maintain
- Documentation, SOPs and internal champions so the implementation outlasts the engagement
- Ongoing support after go-live, sized to how operationally critical the agent has become
- Training for your staff to enable adoption
Approach
Six to twelve weeks per agent or workflow. Capability uplift and team enablement run alongside, not as a separate phase.
Security
Your team is already using AI tools you haven't approved.
we map the path before someone else does.
A risk review that uses defence-level experience to threat-model where AI has increased your exposure.
What we do
We prioritise the controls that reduce real risk, not just governance on paper. We inventory the AI tools and agents already running, assess what each one can reach, and put the highest-impact guardrails in first.
What you get
- A live inventory of every AI tool and agent in use, including the ones nobody told IT about, mapped to what each one can reach
- A threat model of where AI has widened your exposure, with the controls that close it ranked by impact
- Continuous monitoring and audit visibility, so your security team sees AI access in real time instead of reconstructing it after an incident
- Governance sized to the regulators you answer to, in one document your board can act on
Approach
Three to eight weeks. We interview your teams to understand how and where they are using AI, with technical discovery where it is needed. Then we work with you to understand the risk and represent it properly.
Security is not a phase you add later. It is the starting condition for every WrightOps engagement.
Common questions
About the services.
Three, and most engagements draw on two or all of them. AI strategy finds where AI is actually worth building, scored by operational impact, cost and risk. AI security puts guardrails around the tools already in use and the ones you are about to add. AI implementation builds working agents inside the systems you already run, then stays until the work has visibly shifted off your team.
It depends on the service. Strategy work runs four to six weeks. Security reviews run three to eight weeks, often in parallel with other work. Implementation runs six to twelve weeks per agent or workflow, with team enablement running alongside rather than as a separate phase.
It works with the systems your team already uses wherever possible, rather than adding a new platform to maintain. Part of the strategy work is an honest read on where existing technology already covers the gap, so you are not buying twice. A new AI platform only gets selected when existing tools cannot close it.
Engagements are fixed-scope where the work allows it, and time-and-materials where the problem genuinely needs discovery to scope. There is no vendor partnership revenue behind any recommendation, so what gets recommended is what your organisation needs, not what WrightOps would resell. The first conversation is free.
Not sure where to start?
There's too much
AI noise.
Chat with us and you'll leave with a clear view: what you actually need, in what order, and how you compare to others in your industry.