Services
AI strategy, implementation and security.
Strategy
Decide which AI work is worth funding.
A sequenced plan showing what to fund, what to defer and what your existing systems can already do.
Choose this when: You need to decide which AI work to fund first.
What you receive
- 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
Timing and involvement
Four to six weeks. Workshops with operational leaders, technical discovery across existing systems, then a written assessment with options.
How we scope the work
Fixed scope where the work is clear. Where discovery is needed, we agree that work before quoting the implementation. Support after go-live is scoped to your needs.
How we do it
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.
the work is in finding the filled dot.
Implementation
Put a working AI workflow into daily use.
Your workflows enabled by AI, with the skills, infrastructure and processes your team needs to keep them running long after we leave.
Choose this when: You have a workflow or pilot that needs to work in daily operations.
What you receive
- 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, operating procedures and internal owners so your team can maintain the workflow
- Ongoing support after go-live, sized to how operationally critical the agent has become
- Training for your staff to enable adoption
Timing and involvement
Six to twelve weeks per agent or workflow. Capability uplift and team enablement run alongside, not as a separate phase.
How we scope the work
Fixed scope where the work is clear. Where discovery is needed, we agree that work before quoting the implementation. Support after go-live is scoped to your needs.
How we do it
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.
demos well. then stalls.
Security
See where AI is used and what it can access.
A review of AI use, data access and the controls needed to reduce your exposure.
Choose this when: You need to understand which AI tools are in use and what they can access.
What you receive
- An inventory of the AI tools and agents identified through team interviews and technical discovery, mapped to their access
- 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
Timing and involvement
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.
How we scope the work
Fixed scope where the work is clear. Where discovery is needed, we agree that work before quoting the implementation. Support after go-live is scoped to your needs.
How we do it
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.
we map the path before someone else does.
Security is not a phase you add later. It is the starting condition for every WrightOps engagement.
Explore AI opportunities in your threat intelligence process →
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.
Tell us what needs to work better. We can help you identify a sensible starting point and whether discovery is needed.