Put AI to work without losing control of your data.
TallyCode helps regulated organizations in healthcare, banking and the public sector choose the right AI tools, protect sensitive data, and build working solutions that their own teams own and run.
- 20+ years in software and data architecture
- Built in federal health and regulated banking
- Tool-neutral across enterprise, frontier and open-source AI
- Systems of recordERP, clinical, CRM and lab data stay where they are
- Protected source dataApproved extracts by default; any write access goes through authenticated, audited APIs
- Model inside your boundaryPrivate enterprise tenant, dedicated VPC or self-hosted model
- People approve what mattersAI surfaces patterns and drafts the work; qualified staff decide on high-stakes calls
Past performance
AI in pockets, and no direction.
A few paid accounts. An enterprise copilot that some people like and others don't. Vendors pitching add-ons every week. The risk is less about missing the wave than about buying overlapping tools and letting sensitive data leak into tools nobody has reviewed.
Tool sprawl
Overlapping tools and constant pitches, with no standard to judge them against.
Data exposure
Donor, patient, customer and business data pasted into tools that haven't been vetted.
No policy or owner
No AI use policy, no data classification, and nobody accountable for the answers.
No clear first step
Plenty of ideas, but no ranked list of what to try first or how to measure it.
Strategy first. Then build. Then make sure people use it.
We work alongside your team, so what we build is yours when we leave.
Strategy and governance
Which tools, what policy, how to protect your data.
- Review of your current tools and data
- Tool-neutral evaluation of the options
- AI use policy and data classification
- A ranked short list of use cases
Build on your own data
Working solutions, built with your developers and kept inside your boundary.
- One pilot before anything broader
- Governed access to approved data
- Measured against today's baseline
- Documented and handed over to your team
Train your people
Tools only pay off when people use them well.
- Role-based training on the tools you choose
- Playbooks your team owns and updates
- Adoption tracked, not assumed
- Support while habits form
Small steps, each ending with your decision.
We start with strategy and add building only once the direction is set. You are never committed to the whole thing up front.
AI strategy and governance
Current-state review, a tool-neutral evaluation of enterprise AI assistants, frontier models and open-source options, an AI use policy, data classification and a ranked list of use cases.
One pilot on your data
One working solution built with your development team. It's governed and isolated, and tested against approved data before it connects to any live operational flow. For example, spend analysis or throughput and yield.
Rollout and training
The tools you chose, rolled out with role-based training so people use them well.
How we keep AI safe, useful and affordable.
These come from working in places where a mistake with data has real consequences.
Your data stays inside your boundary
Through private enterprise tenants, dedicated VPCs or self-hosted open-source models, we keep your data in approved environments and out of public model training.
People own the high-stakes decisions
AI surfaces patterns, flags anomalies and prepares the work. Decisions that affect people, patients or money stay with qualified humans.
Governed data access
Workflows start from read-only extracts. Any two-way integration or action-taking agent runs through strict permissions, audit trails and explicit approval gates.
Tool and vendor neutral
We evaluate options against your workflow, security controls and total cost of ownership, and recommend what fits your stack, not what is newest.
Right-sized models
We match the model to the task's complexity, cost and privacy needs, from small, fast models to frontier reasoning models when the work calls for them.
Measured against current baselines
Every initiative is compared with today's operational metrics, with milestones set in advance and a clear go or no-go at each checkpoint.
Governance work is aligned to the NIST AI Risk Management Framework and, where it applies, HIPAA.
Practical AI for the work you already do.
Insight and automation that support your people, with their judgment on the calls that matter.
Operational insight
Spend, throughput, yield, losses and performance benchmarks across sites and teams, with outliers flagged for a person to investigate.
Knowledge assistants
Ask questions of your policies, procedures and records in plain English, with answers that cite their sources.
Data pipelines and integration
ETL, APIs and event pipelines that move HL7, FHIR, CDA, XML and CSV data safely between systems.
Agentic workflows and MCP
Tool-using agents with defined permissions, audit logs and human approval steps, and MCP servers that give models governed access to your systems.
Private and self-hosted models
Dedicated VPC or self-hosted open-source models for work that has to stay within your boundary.
AI-assisted engineering
Bring AI coding and review tools into your development workflow, with standards for what to trust and what to check.
Regulated environments, measurable outcomes.
higher development throughput from AI-assisted workflows at a regional bank
shorter deployment time after a CI/CD and infrastructure-as-code overhaul at a bank
lower operating costs, and deployments in hours instead of weeks, on a federal compliance platform
faster after moving a core public-health data service from C# to Go
Client details are anonymized where required. Read the case studies.
A small senior team that has done this in regulated places.
TallyCode is a Washington, DC team of architects, engineers, analysts and project managers. We are led by Ted Taliaferro, who has spent more than 20 years building data and software systems where security and compliance come first: public-health data exchange at CDC, a compliance-system modernization at FDA, and AI tooling at a regional bank.
We meet you where you are
We don't arrive with a ready-made product. We look at what you have, build what's missing with your own team where we can, and bring in a third-party tool only when it's the better choice.
- No one-size-fits-all platform to sell you
- Solutions you own and can maintain
- Plain answers about cost, risk and trade-offs
Not sure where to start? Start with a conversation.
Tell us what you want AI to do for your organization and what worries you most. We'll tell you plainly whether and how we can help.