Transform

AI consulting for companies that need results, not decks.

The model

You keep the decision. AI does the work.

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.

  • Transform. AI finds the use case. You pick which one to prove.
  • Defend. AI shortens the time. You own the business judgement.
  • Achieve. AI runs the process. You still own the exception.
HI + AI
What business leaders are navigating

Five concerns business leaders face as they pursue the benefits of AI.

Value and strategy

  • Value realization
  • Strategy and use-case sprawl

89%

of AI agent pilots fail to reach production.

Data and governance

  • Data readiness and privacy
  • Governance and accountability

21%

have a mature governance model for agentic AI.

Security and resilience

  • AI and agentic security
  • Fragmented exposure and controls
  • Operational and cyber resilience

29%

feel ready to secure the agentic AI they deploy.

Execution and ecosystem

  • Integration and legacy complexity
  • Workforce and operating model
  • Vendor volatility and lock-in

78%

struggle to integrate AI with existing systems.

People and adoption

  • Job-security anxiety
  • Training AI to replace them
  • Slow, uneven adoption

52%

worried about AI's impact on their job.

48%

uneasy telling a manager they used AI.

77%

say AI tools added to their workload.

Perspective informed by NIST AI RMF / GenAI Profile, NIST Cyber AI Profile draft, OWASP Agentic Top 10, MITRE ATLAS, and NIST CSF 2.0.

Stat sources: Gartner (2026), Deloitte (2026), Cisco (2026), Zapier (2025), Pew Research Center, Slack Workforce Index, Upwork Research Institute.

Who it's for

You have AI activity. You need an AI program.

The pattern is familiar: employees are already pasting work into ChatGPT, a Copilot pilot stalled, and the board wants an AI plan nobody owns.

Most organizations have AI activity. Few can show it paid.

6%

of organizations are AI high performers, attributing more than 5% of EBIT to AI and reporting significant value.

Source: McKinsey, The State of AI in 2025.

The rest get stuck in a familiar loop: a pilot that never leaves the lab, siloed trials that never sit on one strategy and roadmap, or a mandate to "use AI" or "tokenmax" with no metric that says which bets worked.

bostoncyberx helps you run the program as one sequence. Our methodology helps identify the use cases that pay, write the rules, put owners and measures on each bet, then roll out and train against those numbers.

What's included

Five workstreams, one accountable team.

Strategy and use case selection

We score candidate use cases by return and risk, then sequence the two or three worth doing first into a roadmap with owners and dates.

Governance that holds up

Acceptable use policy, vendor review, data boundaries, and oversight rules aligned to NIST AI RMF, written so auditors and insurers can read them.

Copilot and LLM rollout

Guardrails first: permission cleanup, data controls, and logging, then a pilot with a defined group and defined success metrics.

Training your people will use

Role-based sessions on what the tools do well, what they get wrong, and what data never leaves the building.

Measurement

A baseline before rollout, monthly reporting after. If a use case is not paying, we say so and redirect the budget.

Secure by Design

Every recommendation is vetted for data exposure and vendor risk, because the firm defending your environment is the one advising on AI.

Why governance first

Governance is not the brake. It is the ROI driver.

The companies that scale AI successfully are the ones that governed it early.

82% vs 26%of mid-market firms have AI in production, but only 26% have it scaled and governed. The gap is where value stalls.Netrio mid-market survey, 2026
90 daysour target from kickoff to first governed use case in production, with policy, pilot group, and measurement in place.bcx engagement standard

Without governance, legal blocks deployments, IT blocks integrations, and employees route around both with personal accounts. With clear rules, deployments move.

Engagement models

Two ways to work with us, priced in the open.

Fractional AI office retainer

Ongoing ownership of strategy, governance, vendor decisions, rollout, and training, with deliverables in writing. Typical range is $5K to $30K per month.

Fixed-fee projects

Defined outcomes at defined prices: a governance build, a Copilot deployment, a roadmap, or a vendor review. No hourly meters.

Ranges reflect companies with 25 to 1,000 employees. Your scope sets your number, in writing before you commit.

Questions

Straight answers on AI consulting

Do you build custom AI models?

Rarely. Most companies get more value faster from configuring commercial tools with the right guardrails and data boundaries. We recommend a custom build only when off-the-shelf cannot meet the requirement and the return justifies the cost.

How is bcx different from a general management consultancy?

We stay through deployment: the team that writes the strategy configures the tools, writes the policies, and trains your people. And we are a security firm, so every recommendation is already vetted for data exposure, vendor risk, and compliance.

How fast will we see results?

Most clients have their first governed use case in production within 90 days: policy in force, a sanctioned tool with a pilot group, and a measurement baseline. Larger rollouts run quarterly with metrics reported monthly.

Find out if you're ready to move.

The free readiness assessment scores your AI use, data, and governance in ten minutes. You get a baseline and the three moves that matter most before anyone books a meeting.

Take the free AI Assessment