The platform that makes AI adoption real.
Meet your company's AI team. OpenAI, Anthropic, Google and other models working together in one governed workspace, for every employee and every process.
AI adoption already happened. It didn't go through IT.
- 47%
of workplace AI use runs on personal accounts. Netskope Cloud & Threat Report, 2026
- 75%
of CISOs have found unsanctioned AI tools in production — shadow AI now outranks phishing and ransomware as their top risk. Saviynt CISO AI Risk Report, 2026
- 74%
of CIOs regret at least one AI vendor decision from the last 18 months. Dataiku / Harris Poll, 2026
- Duplicate spend across ungoverned tools, with no central visibility or negotiating leverage.
- Compliance exposure where data handling has to be provable, not assumed.
- No standard for how models are used, validated or trusted before they reach a customer.
- Leadership that can't approve what it can't govern — so adoption stalls at the executive level.
The best model changes every quarter.*
Ally Platform gives your organization the best of every model on the market, so your AI adoption never has to start over.
"Raw model capability is becoming a shared input that every serious vendor can access, which means it cannot be the basis of your decision."
No single vendor can give your organization all of it — so a rollout tied to one vendor stalls by design. Ally is the layer above the vendors: your approved models, working as one team, under one set of controls. We don't build models. We make them work together.
* The #1 position on the Arena leaderboard changed hands 19 times between May 2023 and September 2026 (BenchLM leaderboard history). "Every quarter" is the conservative reading.
Get the best of the vendors you already pay for.
Copilot, ChatGPT, Gemini and Claude each keep their models, and your people's context, inside their own product. Ally puts them to work together, so you keep the vendors you trust and stop choosing between them.
- One conversation, with models from different vendors handing work to each other.
- Every contribution signed by the model that made it.
- One place to see what each model cost you.
One platform, three products, one lifecycle.
Use AI safely, build it into your processes, prove it works — all on the same governance layer: model access controls, masking and DLP, and a full audit trail.
OneChat
Every approved model — Claude, GPT, Gemini and more — in one governed chat. Models work together on a task, and your context follows you whichever model you're talking to.
Build it inAgent Studio
Build agents that run real processes, customer-facing and internal, connected to your systems and knowledge — no engineering team required to start.
Prove it worksTest Lab
Simulate thousands of conversations before a customer meets an agent, score every turn, and keep testing after launch to catch drift.
The two-minute tour — real product, real screens.
Models that work as a team, not a toggle.
Start with one model and have it bring in the others. Every contribution is signed with the model that made it, and one model stays accountable for the result. No model grades its own work — a review goes to a different vendor.
Memory that lives above the model, not inside it.
Your role, your preferences, your projects — following you from Claude to Gemini without a reset. Memory is owned by the user: visible, editable and deletable. Administrators can clear it, never read it.
AI where the work already happens.
The Chrome extension works inside the dashboards, portals and legacy systems that have no API — signed in as you. It opens its own tabs, asks before every consequential action, and refuses password and payment fields by design. How it works
Governed by default — so it can be approved.
Controls travel with every prompt, not with a policy PDF. This is what lets IT say yes.
- Masked before the modelSensitive data is detected and masked in flight — on every message, every hand-off between models, and every memory note.
- Every action loggedConversations, hand-offs and browser actions, each with user, model, data and time.
- Approved models onlyThe providers and models you vet — no shadow logins, no exceptions.
- Memory you scope but can't readEnabled per tenant, granted per user or group; administrators can clear notes, never read them.
- Your identity, your keysSSO and MFA, tenant isolation, and your own provider keys — so AI spend is visible per model, user and agent.
- Never used to train modelsYour prompts, files and results stay yours.
Agents you can put in front of customers.
Describe the process; Ally builds the agent — customer-facing or internal, same studio, same controls. It follows your steps in order, every time, and hands off to a person when your instructions say so, with the conversation attached.
How do you know your agents still work after a model update?
Test Lab runs thousands of unique conversations against an agent before launch, scores every turn, and flags every deviation — then runs on a schedule every week after, so drift is caught in the lab, not in front of a customer.
- Connected to your live systems and knowledge bases, so answers are current and on-policy.
- Scales from one workflow to hundreds without rebuilding the agent.
- Inherits the platform's controls — masking, audit, approved models — so production AI stays inside policy.
Talk with your data — all of it.
Connect Snowflake or any data warehouse, enriched with live CRM and ERP data. Ask questions, request forecasts or run analysis using the model best suited to the task, and save the result as a living, shared dashboard. The same masking and controls apply to every answer.
Rolled out by people who have done it.
You don't have an AI team, and you shouldn't need one. Boston SoftDesign has run managed IT services and built enterprise software since 1999.
- We map your current AI use and find where data is leaving.
- We stand up one governed platform your organization actually adopts.
- Onboarding and training are scoped with your quote.
Know your cost before we talk.
A fixed platform fee by user band — plans start at $1,000 a month for teams up to 15, at the annual rate — that never moves with usage. AI usage runs on your own provider keys, visible per model, user and agent. Governance, masking and audit are included, not add-ons.
Estimate your costQuestions teams ask first
Which AI models does Ally Platform support?
The ones you approve — Claude, GPT, Gemini and other leading models, from their own vendors. Ally is the layer above the providers, so which models your organization can reach is your decision, and new models are available as they arrive.
Do we have to replace the AI tools we already pay for?
No. Ally puts the vendors you already trust to work together. If your teams use Copilot, ChatGPT or Gemini today, Ally gives them one place where those models cooperate, under one set of controls.
How quickly can we start?
Same week. Start a 7-day trial and we set up your workspace within one business day — no card, on your own AI accounts. A full rollout is scoped with your quote and run by our team.
What does Ally Platform cost?
A fixed platform fee by user band — plans start at $1,000 a month for teams up to 15, at the annual rate — plus AI usage on your own provider keys. Governance, masking and audit are included. The cost estimator sizes it for your team in a minute.
Can different AI models work together on one task?
Yes. One model leads the conversation and can delegate parts of the work to others; every contribution is attributed to the model that made it, and one model stays accountable for the result.
Does Ally remember users across models?
Yes. Memory belongs to the user, not the model vendor, and survives model switches — move from Claude to Gemini mid-conversation and it still knows you. Only the user can read it; administrators can clear it.
Can OneChat work in our browser?
Yes. The Chrome extension works inside the internal dashboards, vendor portals and legacy systems that have no API. It opens its own tabs, asks before every consequential action, and refuses password and payment fields by design. Chrome and Edge on desktop; off until an admin turns it on.
How is Ally different from Copilot, ChatGPT Enterprise, Gemini Enterprise or Claude Enterprise?
Each of those gives you its own models inside its own product. Ally sits above them: one conversation where models from different vendors hand work to each other with every contribution attributed, memory that belongs to the user rather than the vendor, and one place to see what each model cost you.
How do we know an agent still works after a model update?
Test Lab runs thousands of unique conversations against an agent before launch, scores every turn, and runs on a schedule after — so drift is caught in the lab, not in front of a customer.
Start your 7-day trial. Run it like a pilot.
No card. Your own AI accounts. Tell us about your team and we'll set up your workspace and send your invite within one business day.
Thanks — we've got your request.
We'll set up your workspace and email your invite within one business day.