Most companies now run AI somewhere: copilots, chat tools, a handful of pilots, and a lot of work nobody sanctioned. Spend is up. Results are uneven. The usual miss is not the model. It is a use case with no owner, no measure, and no path from a demo into the way the company actually works. bostoncyberx starts with what you already run, proves one case in the business, and only then scales what cleared that bar.
AI researches, drafts, and runs the workflow. You own the decision, and you bring the creativity, taste, and judgement. That is HI + AI, and it is how bostoncyberx helps your business achieve more intelligent operations.
This section shows our standard offerings. Advisory, integration, and managed services are also available and can be customized.
A facilitated workshop that clarifies your AI maturity posture today, and leaves you with an executable strategy and roadmap your leadership team gets behind and your CFO can support and fund.
Most AI programs stall in a pile of pilots. This one does not. We inventory what you already run, pick the use case with the highest return, and prove it with an evidence gate: iterate, pivot, stop, or scale.
A monthly vAITO retainer. Add vCTO or vCISO if you need them. One subscription, a named AI transformation officer, a fixed monthly rate based on the hours required, and a discount on additional hours.
A senior consultant on strategy, governance, vendors, and the operating model. Not a build shop.
You need a senior consultant who can advise and keep the work moving, not another strategy deck. We work with you on value, use cases, vendors, data, and the people questions that stall adoption. This is ongoing counsel. It is the vAITO domain on bcxOne when you want it as a retainer. It is not a software build and it is not 24x7 operations.
Adoption has to stay defensible. We set decision rights, lifecycle controls, and the evidence an auditor or an underwriter can read. Inventory the sanctioned tools and the shadow ones. Policy sits with the same team that is adopting the tools. This is the Transform view of governance. AI Security and Governance on the cyber catalog is the Defend view of the same surface.
Most companies already run Copilot, ChatGPT, Claude, Gemini, or Agentforce, plus tools nobody sanctioned. We inventory what is in use, where data goes, and what it is actually returning. You get a written current state and a short list of what to keep, restrict, or turn off. This is advice. Landing controls sits under Integrate or on the cyber catalog.
A pile of ideas is not a program. We size the value pools, name owners, and write the business case for the few that should go first. You get a ranked portfolio the leadership team can fund. Proving one of them is the Accelerator, not this card.
The model and the vendor are a business decision, not a bake-off slide. We compare what you already have to what a new one would change: data paths, cost, lock-in, and who owns the outcome. You get a written recommendation. We do not resell the model as a bostoncyberx product.
A proved use case that never leaves the pilot team is not a program. We build the platform, data foundation, and operating model so AI can run in more than one team. Ownership sits in the business. The next hypothesis is already queued. Security has a path it can live with.
The Accelerator proved it. This is the work to put it in the environment you already run. Integration, access, logging, and the handoff to the team that will own it Monday. You get a working path, not a prototype on a laptop. We do not become the software vendor.
Models fail on bad paths to data, not on a missing brand of LLM. We design the data the use case actually needs: access, quality, retention, and what must never leave. You can show what feeds the model and who approved it. Broader data security controls sit on the cyber catalog.
The in-house apps that still run the business were not built for AI. We modernize those existing applications with AI, a stronger data foundation, and Secure by Design. You keep the systems your teams already own. Security has a path it can live with.
A new use case often needs a new application, not a retrofit. We build AI-powered applications on a strong data foundation, using Secure by Design from the start. You get a working app the business can own Monday. We do not become the software vendor.
Copilot, Agentforce, Claude, ChatGPT, Gemini, and internal agents have to talk to the identity, data, and apps you already own. We wire that path. Shadow tools get a decision: sanction, restrict, or turn off. This is SI for the AI stack on the Transform side.
A working tool that nobody uses is shelfware. We put owners in the business, train the people who have to run it, and set the cadence that keeps it from dying after week two. Literacy is part of the work, not a lunch leftover. HI stays on the decision.
Once a use case is in production, someone has to run it. We operate the path: uptime of the workflow, prompt and model changes, and the handoff when it breaks. You get a named operating picture, not another dashboard the pilot team abandoned. A human still owns the business decision.
Token spend and model drift show up after the demo. We watch cost, quality, and which model is actually doing the work. You get a written ledger the finance lead can read. We do not publish a savings percent we have not measured here.
Adoption falls off when nobody owns the next month. We keep the cadence: office hours, new use-case intake, and the literacy the next team needs. You stop treating enablement as a one-week launch. This sits on the same operating motion as Managed AI operations.
The board asked what the program returned. We baseline the use case, track the metric you named, and write the quarterly read. Iterate, pivot, stop, or scale stays a decision with evidence. We do not invent ROI numbers.
No obligation.
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