No credit card required · Unlimited users on business plans
Partner programs and marketplace approvals
Microsoft PartnerApp reviewed and approved in the Microsoft marketplace
Slack MarketplaceApp reviewed and approved by Slack
95% of enterprise AI shows no measurable return.
MIT’s NANDA initiative studied 300 enterprise AI deployments. Ninety-five percent had produced
no measurable impact on the P&L. Not a small impact. None. The models were rarely the problem.
Nobody was running them, and nobody was using them.
MIT NANDA, The GenAI Divide
01 · Orchestration
Every channel. Every model. One you control.
Swa sits between your people and every model you allow. It picks the right one for the job, and an admin decides what each team can reach.
Company, workspace and user level model control
Deprecations absorbed in the router, so a pulled model never breaks a workflow
23+ models behind one interface
Summarise this thread and draft the reply
swa
ChatGPTClaudeGeminiPerplexityGrok
Admin decides what each team can reach · company, workspace, user
02 · Everywhere they work
Ask where you work. Swa does the rest.
No new app to adopt. Swa answers in the tools your team already has open, and it can act, not just reply.
Web, Slack, Microsoft Teams, WhatsApp and SMS
Also on iPhone and iPad
150+ connected apps through one handshake
Web
Slack
Teams
SMS
MK
@swa pull Dave’s Jira tickets and email him the top 3
S
Pulled 12 tickets. Top 3 sent to dave@company.com.
Ask in plain language. Swa turns a spreadsheet into a chart without leaving the channel.
03 · Agents
SHIPPED
Build your digital workforce in plain English.
Describe the job in a sentence. Swa builds an agent that runs on a schedule, uses your tools, and posts where the team already is.
15 production agents: research, files, images, video, Jira, calendar
Scheduled work that runs without anyone watching
Documents generated in your own branded templates
"Every Monday, summarise support tickets"
A
Weekly Support Digest
Runs Mondays at 8:00
ScheduledZendeskPosts to #support
04 · Cost control
SHIPPED
The right AI, the right cost.
Most work does not need the most expensive model. Swa routes by what the task actually needs, and you see every dollar by model, workspace and person.
Right-sizing on by default
Usage visible per model and per workspace
Usage-based, with no per-seat fees
Everything on the biggest model$$$$
Right-sized by Swa$
51%compute cost avoided in our own 26-person, 90-day trial
05 · Governance
The trust layer underneath.
Every request passes your policy before it reaches a model, and the whole chain is written down.
SSO, role-based access, admin model controls
Your data is never used to train the models
Full chain captured: person, agent, tool, model, response
Policy
→
Guardrails
→
Logged
user → agent → tool → modelmodel access: allowed (workspace)event written to ledger
06 · Adoption
SHIPPED
Adoption you can prove.
This is the part most AI programmes skip, and it is why most of them fail. Swa teaches your team inside the product and shows you the numbers.
In-product training that meets people where they are
Quests and achievements that build the habit
Admin reporting on real usage, not licences bought
78%
Quests, achievements and an in-product trainer, with admin reporting on who is actually using it
Swa across the surfaces your team already uses.
07 · One platform
SHIPPED
One meter. One bill.
Every model, tool and agent on a single meter, with one invoice at the end of the month instead of a stack of subscriptions.
One bill across every model and surface
Unlimited users on business plans
Plans from $19 to $9,999 a month
ChatGPT4.2M tokens
Claude3.1M tokens
Gemini0.9M tokens
Tools & agents1,240 runs
One bill$99/mo
08 · The obvious question
“We already have Copilot. Why would we add Swa?”
Swa governs across them, it does not replace them
Copilot, ChatGPT Enterprise and Gemini are single-vendor. Swa sits above whatever you already run,
so one policy, one audit trail and one bill cover all of it. Keep Copilot. Put rules around it.
One vendor means one failure mode
When a model is pulled, rate-limited, region-locked or simply refuses, a single-vendor stack stops.
Swa absorbs that in the router, so the work carries on with a model that will do it.
No per-seat maths
Per-seat pricing punishes you for rolling out widely, which is exactly what adoption requires.
Swa is usage-based with unlimited users on business plans.
It meets people where they already are
Adoption fails when it needs a new habit. Swa answers in Slack, Teams, the browser, WhatsApp and SMS,
and teaches as it goes.
09 · Where we stand
What Swa is not. We are not a security product, and we are not a model lab. We do not train models
and we do not claim certifications we have not finished. SOC 2 and ISO 27001 are in progress, not done.
What we do is put every model, tool and agent behind one set of rules you control, and prove your team is using it.
What customers are saying
“Swa Solo has completely removed the friction of switching between different AI platforms … having a single window to access all the top AI models is a game-changer.”
“Swa Solo has completely removed the friction of switching between different AI platforms. Whether I’m diving into complex research, running policy reviews, or drafting voiceover scripts and training content, having a single window to access all the top AI models is a game-changer. I get the absolute best quality output for the task at hand without juggling multiple logins or subscriptions. On top of a terrific product, their support team is incredibly responsive and genuinely invested in your success. It’s saved me hours of going back and forth between AI platforms every single week.”
Matt Holmes, CISSO, Governance & Compliance Mgr · State of Alabama