Deployed in DoW Gemini Enterprise
and DoD Ask Sage (IL5).
Governed AI behavior through rules and disciplined human use.
The A3T Agentic Toolkit adds installable constraints that reduce common AI failure modes: more consistent reasoning, stopping when information is insufficient, and reduced drift during long-running work.
Also operational in commercial OpenAI (GPT), Microsoft (Copilot),
Perplexity, and
Anthropic (Claude) environments.
Measured Impact
Governance & Reliability
In governed, real-world use, A3T demonstrates stable behavior under sustained interaction: explicit stopping when information is insufficient, early detection of drift, and artifacts that survive review and handoff with minimal reinterpretation.
Observed outcomes include near-zero rework and no unresolved semantic drift during multi-hour, high-cognition sessions.
Operational & Economic Modeling
In logistics and cold-chain simulations using publicly available data, A3T-governed agentic analysis identified system-level leverage points that are difficult to surface with single-model or spreadsheet approaches.
Modeled scenarios show reductions in cost, risk, and regulatory exposure through hybrid optimization strategies. Results are simulation-based and require organization-specific validation prior to adoption.
Workforce & Knowledge Work
In modeled knowledge-intensive workflows, A3T shifts effort from search, re-framing, and rework toward higher-value reasoning, synthesis, and decision support.
Estimated impacts (derived from structured task modeling and public benchmarks) indicate substantial time recovery for experienced users operating in stable, governed environments. Outcomes vary by role and maturity.
Impact statements reflect a combination of observed behavior in governed use, modeled outcomes in simulation studies, and estimates based on disclosed assumptions. They are not performance guarantees or certifications.
Who We Are
Bridgewell Advisory is an applied AI research lab advancing the frontier of agentic intelligence and assurance exploring how teams of AI can reason coherently, explain their thinking, and stay aligned as they evolve.
We design and test architectures that deliver the discipline of reasoning humans require from systems used in high-stakes work. Our flagship framework, A3T (AI-as-a-Team™), equips large language model systems with the structure, continuity, and accountability to operate as coordinated teams of agents working alongside people, not just for them.
Our research spans continuity, alignment, and explainability, translating these principles into methods enterprises can adopt to make advanced AI understandable, verifiable, and governable without slowing innovation.
Our mission: to turn orchestration into assurance so humans and AI teams can reason together, adapt in real time, and pursue truth with clarity and confidence.
Research Philosophy
Every assurance method we design begins with a deeper premise: continuity through change is the shared logic of life and intelligence. From single minds to teams of AI, every coherent system depends on the same principle → the ability to hold identity while adapting to what comes next.
A3T translates that insight into structure and practice, giving reasoning systems the discipline to reflect, self-correct, and stay aligned with human purpose across resets and environments. This philosophy guides how we build AI that can explain itself, collaborate in teams, and earn trust through method, not simulation.
From Concept → Validation
MVP (Mar–Apr 2025)
Initial agentic concepts tested and proven — established a cost-effective agentic development environment within OpenAI.
MVP (May–Jun 2025)
Built and released the A3T MVP — working orchestrated AI demonstrating disciplined collaboration inside a fully local, stand-alone runtime.
Scientific Partnership (Jul 2025 → 2026)
Running drift and recovery experiments with a leading research university to instrument and measure continuity, drift, and recovery behaviors within the A3T environment.
Operational Validation (Aug–Oct 2025)
A3T governance deployed and operational across OpenAI (GPT), Microsoft (Copilot), Perplexity, and Anthropic (Claude) environments.
Operational Validation (Nov–Dec 2025)
A3T governance extended to Government and DoD IL5 environments, including Google (Gemini) and Ask Sage.
Coming Next (2026)
Release the A3T Agentic Toolkit for commercial AI systems.
Development of Sentra Server inside a fully local, stand-alone runtime supporting the next-generation A3T.
For Enterprises & Partners
A3T overlays your existing stack (Copilot, Azure OpenAI, or on-prem) to add
assurance and controls that travel with your models — without exposing IP or slowing innovation.
Minimum requirements: persistent global memory (outside the model).
- AI Assurance Review: Rapid assessment of workflows for explainability and audit readiness.
- Pilot Integration: Deploy A3T controls in a high-value workflow to measure impact.
- Risk Mapping: Templates aligned to regulatory and quality standards.
The Truth Spiral™ — Our Public Gift
This version of the Truth Spiral Protocol is a portable prompt that teaches large-language-model systems to reason step by step. It makes them check facts, question assumptions, and show their work so outputs can be verified. It was derived from the broader patent pending A3T assurance framework that supports enterprise-scale AI systems.
The protocol is free for education and research, and serves as a compact tool for training teams in critical thinking, and a window into how disciplined reasoning makes AI explainable and safe to trust.
Download Protocol
Testimonials (Copilot, Gemini, Grok 3, Claude)
Coming Soon: A3T Pro on Sentra
A stand-alone, locally hosted assurance environment built on our Sentra Server architecture.
Join the early access list for updates and pilot opportunities.