How we work
Discover. Implement. Govern. Assure.
Four stages, each of which stands on its own. Most organizations begin with the first and decide from there — nothing here requires committing to the full arc up front, and we would be suspicious of a firm that asked you to.
01 · Discover
Understand the business before recommending any technology.
A structured assessment of how work actually flows: the processes, the systems, the data, the risks, the compliance obligations, and the automation opportunities hiding inside all of it. You leave with a prioritized roadmap whether or not you continue with us.
- Workflow and systems map
- Data-flow and risk observations
- Compliance obligations in scope
- Prioritized roadmap with effort and impact
02 · Implement
Build one high-value thing and put it into production.
A focused sprint against the highest-value item on the roadmap — a secure automation, an integration, an internal tool, or targeted security remediation. Scoped in writing, tested before it touches real data, documented, and handed off to your team.
- One working solution in production
- Security boundaries tested before live data
- Documentation and staff handoff
- Post-launch support window
03 · Govern
Write down how it is supposed to work.
Policies, control definitions, AI acceptable-use guidance, access model, and security architecture documentation. This is the layer most organizations skip, and it is the reason their next audit is painful.
- Security and AI use policies
- Control definitions with named owners
- Access model and review cadence
- Architecture and data-flow documentation
04 · Assure
Prove it works, on an ongoing basis.
Validate the controls, organize the evidence, automate collection where the systems allow it, and stay ready between audit cycles instead of scrambling before each one.
- Control validation and gap closure
- Organized, current evidence
- Automated collection where feasible
- Readiness maintained between cycles
Worth saying plainly
BSTS does not push AI into organizations that do not need it. Technology should solve a measurable business problem, and sometimes the honest recommendation is a better process rather than a new system.
The AI gate
Value. Risk. Controls. Assurance.
Every AI use case passes this gate before it reaches production. Skipping a step does not make a project faster — it relocates the cost to a worse moment, usually a customer security review or an incident.
01
Value
Does it create real business value?
If a workflow does not cost measurable time, money, or accuracy today, automating it is a hobby. We start by proving the problem is worth solving.
02
Risk
What could go wrong?
What data is involved, who sees it, what happens if the model is wrong, and what obligation — contractual or regulatory — is attached to it.
03
Controls
How do we secure and govern it?
Data boundaries, access control, retention limits, human approval on consequential actions, logging, and a documented owner.
04
Assurance
Can we prove the controls work?
A control nobody can demonstrate is an intention. We build the evidence path at the same time we build the automation.
Inside implementation
The security and AI team you do not have to hire.
Most organizations at this size have no AI team, no cybersecurity team, and no compliance function — and no realistic path to hiring all three. They do not need a new stack either. They need the one they have connected, secured, governed, and freed from the repetitive work consuming their people. Replacement is a last resort, and it comes with a written reason.
- No rip-and-replace reflex — every recommendation carries a reason
- No licenses sold and no vendor commissions taken
- Security designed in from the start, not added at the end
- Every engagement scoped in writing before work begins
Keep what works
Stack assessment & modernization strategy
Connect what is disconnected
Integration & data unification
Automate what is repetitive
Intelligent workflow automation
Build what is missing
Custom software & secure AI implementation
Secure the foundation
Security architecture & readiness
Stage one
It starts with discovery. Discovery starts here.
The public Bevier Breakdown is built from the same assessment model used in BSTS engagements. A facilitated assessment adds deeper branching, evidence validation, control analysis, and a prioritized implementation roadmap. You keep the output of the free version whether or not we continue.
References to security and AI frameworks such as SOC 2, NIST CSF 2.0, NIST SP 800-53, the NIST AI Risk Management Framework, ISO/IEC 27001, HIPAA, and CMMC describe the practices that inform our methodology and the requirements we help clients prepare for. They do not imply certification, accreditation, endorsement, or an audit opinion. BSTS does not issue SOC 2 reports. SOC 2 examinations and attestation reports are performed by qualified independent CPA firms.