Enterprise AI agents with governance and spend control

From one team to fifty, with spending capped at every step

AI pilots stall when every team pays differently and nobody can show the return. BoldCreate runs a ready-made AI development team across the company from one place, with spend capped, itemized, and governed from the first team to the last.

Acme Corp · AdminMicrosoft · GitHub · Syncfusion sign-in
Active users23
Tasks this month301
Cost per task$1.84
TeamSeatsBudget this month
PAPayments24$103 / $600
PLPlatform38$173 / $800
MOMobile16$47 / $400
DAData12$89 / $360
No training on your codeAzure OpenAI + AnthropicHard caps per teamAudit to Splunk
AUDIT LOG · LIVEPriya Raman approved a spec · PaymentsPolicy hook blocked an edit to /infra · PlatformDaniel Okafor raised Mobile budget to $400
Illustrative example
Built by Syncfusion, serving 47,000+ organizations.25+ years of developer tools, now reimagined for the agent-first era.
47,000+Syncfusion customers
1,600+Syncfusion UI components
25+Years of Syncfusion developer tools
Syncfusion component licensing is separate.
For the CFO

Compare spending with each team's budget

Not tokens. Not seats alone. What each team spent, how many pull requests it merged, and what each merged pull request cost, next to the budget it was given. Spot the team that stopped using it, and the one that’s ready for more.

Illustrative example, not a quote
STATEMENT · AUGUSTAcme Corp · 34 teamsUsage at provider cost
+ 10% platform fee
TEAMSPENDMERGED PRSPER PR
Payments$1,12074$15.14
Web storefront$98061$16.07
Platform$1,41058$24.31
Data$64022$29.09
MobileIDLE$421$42.00
+ 29 more teams
Total · 298 pull requests merged$7,840
For the CISO and platform team

Choose which models your teams can use

Use the provider contracts you already have. Every request passes your policy before it reaches a model: which teams may use which models, which data may leave, what falls back to what, and where it gets logged.

Requestteam: payments data: internal
Policy checkmodel allowed for this team
Primary modelyour Anthropic key
Fallback orderthen your OpenAI key
Audit logmodel, data class, cost, actor
THIS REQUESTpaymentsinternalfeature buildUSEvaluating policy…
For the VP of Engineering

Manage access through SSO and roles

People sign in with SSO and land in the right team. Admins, team owners, leads, and users each see and do only what their role allows. Each new team rolls out with the same policies as the first.

AdminSSO and SCIM, model policy, company budget, and the audit log.
Team ownerTeam budget, members, and which skills the team uses.
LeadApproves specs and reviews pull requests. Answers agent questions.
UserHands over tasks and reviews results within budget.
Acme Corp rollout1 teams24 seats
Acme CorpSSO · policies · budgets
Payments24Priya Raman
Platform38Nina Kovač
Mobile16Daniel Okafor
Data12Grace Liu
Support9Omar Haddad
Web21Leo Brandt
WEEK 1Pilot with Payments: one repo, one task first, $600 budget
WEEK 3Platform and Mobile join with the same skills
WEEK 6Data, Support, and Web on the golden path
WEEK 10Org-wide: one dashboard, one audit log
Illustrative example
For audit and compliance

An audit trail of agent actions and approvals

team: paymentslast 24 hactor: anyexport CSV
09:12PlannerSpec drafted for PAY-431task 8812
09:14M. Chen · leadApproved spec PAY-431checkpoint 1
10:02DeveloperOpened PR #1777 with 42 testssandbox s-91
10:05SecurityFlagged live key in source, fixedcommit c09e
10:31D. Osei · seniorApproved PR #1777 for mergecheckpoint 2
11:40R. Okafor · ownerRaised payments budget $400 → $600budget
11:41Admin policyBlocked model not on allowlistpolicy v7
What you are rolling out

The five agents included in BoldCreate

No hunting for agents, writing prompts, or building skills before the first task. Specialists tuned by Syncfusion, customizable with your standards, and backed by 25+ years of Syncfusion enterprise tooling.

Roll out plugins to a team or the organization
Select a badge to see what the agent hands you and the controls it runs under.

Frequently asked questions

How do we roll out enterprise AI agents across many teams?
Start with one team and expand from there. People sign in with SSO and land in the right team. Each new team rolls out with the same policies as the first, and every team shares one dashboard and one audit log.
What roles can we assign?
Admins manage SSO, model policy, the company budget, and the audit log. Team owners manage team budgets, members, and skills. Leads approve specs and review pull requests, and users hand over tasks and review results within budget.
Can we control which AI models each team uses?
Yes, and you can use the provider contracts you already have. Every request passes your policy first: which teams may use which models, which data may leave, what falls back to what, and where it gets logged.
How does finance see AI spend?
Spend is capped, itemized, and governed from the first team to the last. Finance sees what each team spent, what it merged, and what each merged pull request cost, next to the budget it was given.
What does the audit trail record?
Every agent action and every person who approved it, from drafted specs and approved pull requests to budget changes and blocked models. You can filter the log and export it as CSV.

Discuss access, policy, and budgets

Start with one task in your existing codebase. Bring security and finance to the first call.

$199 a month for 20 seats · AI and sandboxes at provider cost + 10% platform fee