Finance agent · 142 invoices reconciled · 7 exceptions routed · 11 min cycle Vendor agent · 47 onboarding steps automated · 12 hrs saved per cycle 6–12 wks from discovery to first production agent · across 4 customers in 2026 RevOps agent · 31 contracts processed · 4 routed to legal review Support agent · 89 tickets triaged · routed to right team in seconds ~90% lower than equivalent FTE coverage · 2026 customer benchmark Cyber agent · CVE-2025-4421 · Patched in 23s · case study deployment Finance agent · 142 invoices reconciled · 7 exceptions routed · 11 min cycle Vendor agent · 47 onboarding steps automated · 12 hrs saved per cycle 6–12 wks from discovery to first production agent · across 4 customers in 2026 RevOps agent · 31 contracts processed · 4 routed to legal review Support agent · 89 tickets triaged · routed to right team in seconds ~90% lower than equivalent FTE coverage · 2026 customer benchmark Cyber agent · CVE-2025-4421 · Patched in 23s · case study deployment
Forward-Deployed AI · Custom Implementations

Custom AI agents,
built into your stack.

Frontier Agents builds custom AI that owns entire enterprise workflows. Discovery to production in six to twelve weeks. You give us context. We build the rest.

What we deliver → Read the case study ↗
Custom Built 6–12 Week Deploys No Migrations ~90% lower than FTE Engineer-Led
Production Deployments · Live
312
Actions / wk
11.4
FDE hrs / wk
87%
Auto-resolve
3.2×
Throughput
Active actions · across deployments
INV-8814
Invoice reconciliation · NetSuite ↔ Coupa
Finance agent resolved
VND-2241
Vendor onboarding · Acme Logistics LLC
Vendor agent reviewing
DEAL-3318
Contract review · Stripe MSA · legal route
RevOps agent routed
CVE-2025-4421
Redis auth bypass · cache-cluster-prod
Cyber agent done
6–12 wks
Discovery to a production agent
Across 2026 deployments
Operational throughput per team
Customer benchmark · 2026
~90%
Lower than equivalent FTE coverage
24-month TCO comparison
<20 hrs
Of your team's time across discovery
No migrations · no rebuild
Frontier Platform · One stack, end to end

The only AI vendor you'll ever need
to run your business.

Frontier Platform is the enterprise AI stack. MODELS at the foundation. Frontier Agents on top. Frontier Security as the first productized deployment. One team builds and runs all of it — so nothing falls between vendors.

MODELS
The foundation layer
Unified access to frontier models — Claude, GPT, open-source — with the routing, governance, observability, and cost controls your enterprise needs. Run by Frontier, governed by you. One relationship instead of one per provider.
Model routing Governance Observability Cost controls
Talk to us →
FRONTIER AGENTS
The custom systems on top
Forward-deployed engineers build the agents that own your end-to-end workflows. Production in six to twelve weeks. Tends to land ~90% below equivalent FTE TCO. Same team that runs MODELS builds what runs on top.
Custom built 6–12 wk deploys No migrations FDE-led
See how it works →
FRONTIER SECURITY
The productized agent
Audit-grade cyber agent live in production. 96% MTTR reduction. The first productized application of the platform — proof the pattern ships in regulated environments. Available standalone for security teams.
Productized SOC 2 · NIST 96% MTTR ↓ Live in prod
Visit frontiersec.ai ↗
How the stack works

One stack. One workflow. One vendor.

Frontier components chain together into a single workflow — from the model layer up through the custom systems that own your work. Same team. Same delivery model. Nothing falls between vendors.

STEP 01
MODELS
Foundation layer. Governed model access, routing, observability, cost controls. Your AI infrastructure, run by Frontier.
STEP 02
AGENTS
Custom systems built on top. FDEs design and ship the agents that own your end-to-end workflows. Production in six to twelve weeks.
STEP 03
IN PRODUCTION
The work, owned end-to-end. Frontier Security is the first productized deployment — same architecture, regulated environment, audit-grade.

The same team that runs your model layer ships the agents that run on top of it. The same FDEs that built Frontier Security build whatever workflow comes next.

What we deliver

We don't automate tasks.
We retire whole workflows.

A single automation that answers emails isn't transformation. Frontier agents own end-to-end workflows — from intake through execution through reporting — replacing entire process chains, not individual steps.

.01
Reduce operational overhead
Agents own the coordination, approvals, and repetitive operational work that's outgrown your team. Hours of cross-system handoffs collapse into minutes of agent action.
.02
Accelerate execution
Workflows that once required multiple team handoffs execute continuously. Your team focuses on judgment and exceptions. The agent runs the work between.
.03
Scale without hiring
Operational output grows without adding headcount or new coordination layers. The next ten percent of your throughput costs the same as the first.

Enterprise operations were designed for human coordination. The next generation is designed for intelligent execution.

How it works

Audit. Architect. Deploy. Operate.

Four steps from discovery to a production agent that owns the work end to end. Delivered by forward-deployed engineers. No migrations. No platform tax.

01
Step One

Audit the
workflow

Map how work actually moves through your organization. Where coordination breaks down, where decisions stall in approval queues, where your team is spending time on what an agent should own. The deliverable is a written deployment plan — not a slide deck.

Workflow Mapping System Inventory Decision Logic Handoff Analysis Engineer-Led Discovery
UNDER 20 HOURS OF YOUR TEAM'S TIME

Four-week engagement. Your team contributes context, not staffing. Free of charge. No procurement loop required to start.

Workflow Audit · Live
Discovered systems & handoffs
Workflow ingestion
7 systems
MAPPED
Decision points
14 nodes
MAPPED
Handoff latency
3 stalls
FLAGGED
Approval bottleneck
2 queues
FLAGGED
Integration surface
11 APIs
REVIEWING
Audit week: 2 of 4Deployment plan drafted
Agent Architecture · Draft
Vendor onboarding · v0.3
in design
1.
Ingest intake from Slack form → enrich via Clearbit + procurement DB
2.
Apply risk tier policy: contract value, geo, compliance flags
3.
Provision in NetSuite + Okta + Coupa via existing API surface
4.
Write structured record · notify owner via Slack · close ticket
STEPS
47
SYSTEMS
5
EXCEPTIONS
3
02
Step Two

Architect the
agent

Design the agent system that owns the workflow end to end. Intake, decision logic, execution path across your systems, reporting. Built to operate inside your existing stack — not alongside it. Nothing is replaced. Nothing is rebuilt.

Agent System Design Integration Topology Decision Architecture Exception Handling
BUILT FOR YOUR STACK

Agents integrate via APIs into the tools your team already runs — ERPs, CRMs, ticketing, identity, finance, ops platforms. Nothing migrates. Nothing rebuilds.

03
Step Three

Ship to
production

Deploy the agent into production behind your existing controls. Integration through the APIs your team already uses. Actions are logged, reversible, and traceable end to end. Rollback-ready from day one. The agent runs the work; your team owns judgment on exceptions.

Production Cutover API Integration Rollback-Ready Traceable Actions
6–12 wks
Discovery to production agent
100%
Actions traceable end to end
frontier-agent@vendor-onboarding-prod
[Frontier Agent] VND-2241 · Acme Logistics LLC · 14:31:22
[Intake] Slack #vendor-requests · enrich: Clearbit, procurement DB
$ policy.evaluate(VND-2241)
[✓] Risk tier: STANDARD · auto-route enabled
$ provision.netsuite + provision.okta + provision.coupa
→ vendor record created · access scoped · PO terms applied
[✓] All systems provisioned (1m 47s)
[Notify] Slack DM → owner · ticket closed in Jira
[✓] Action record written · 14:33:09
Action record
Vendor provisioned · Acme Logistics · 3 systems updated
act:c9f1b4a3 · 14:33:09
Policy decision · STANDARD tier · auto-routed
act:a6c3b9e1 · 14:31:22
Operating Cadence · Live
ACTIONS / WK
312
FDE HRS
11.4
EDGE CASES
7
Continuous improvement loop
Decision accuracy96%
Auto-resolve rate87%
Action throughput vs. wk 1+340%
04
Step Four

Operate &
improve

Run the agent in production. FDEs observe, refine the decision logic, and feed edge cases back to the model. Each engagement makes the next deployment faster. The agent that ships in week eight is not the same agent running in month six.

Continuous Improvement FDE Embedded Monthly Review Edge-Case Feedback
SCALE WITHOUT HIRING

Operational output grows without adding headcount. The agent improves week over week. Your team adds judgment on exceptions, not throughput on routine work.

Forward Deployment Engineers

Engineers who
ship the work.

FDEs aren't consultants writing decks or implementation partners assembling pre-built modules. They're embedded senior engineers who map your workflow, design the agent, integrate it into your stack, deploy it, and own its performance after go-live. The same model Palantir used inside the largest enterprises in the world — applied to AI implementation.

🎯
Dedicated to your account
Each engagement gets a named FDE who understands your workflow, systems, and operational context. Not a shared queue. Not a rotating bench. A dedicated engineer.
🛠
Embedded engineering, not advisory
FDEs build the agent inside your environment. No deck-driven advisory engagements, no implementation partner handoffs. The engineer designing the agent is the engineer shipping it.
Senior engineers with production scars
FDEs are seniors who've shipped real systems into real production. They've worked in environments where "it broke" isn't an acceptable outcome — and they architect accordingly.
📌
End-to-end ownership through go-live
The FDE who designed the agent in week one is the FDE running the deployment in week eight, and the FDE on call in month four. No handoffs. No context loss.
🔁
Continuous improvement loop
FDEs feed edge cases, exceptions, and workflow changes back into the agent. The agent improves week over week — and the next deployment is faster because of what the last one learned.
10× operational leverage
One FDE paired with a Frontier agent handles the operational volume of ten engineers. Not by reducing oversight — by eliminating the coordination work around it.
The Agent System

Built into the work,
not next to it.

Frontier agents own complete workflows — intake from where work originates, decision logic against your business rules, execution across the systems you already run, and structured reporting back to where the team needs visibility. Nothing in your stack gets replaced. The agent slots into the gaps.

Intake & enrichment
Captures work where it originates — Slack, email, ticketing, forms, system events. Enriches against your systems of record before decision.
Decision logic against your rules
Encodes your actual approval logic, risk tiers, and escalation paths. The agent makes calls within explicit policy. Exceptions route to humans.
Multi-system execution
Acts across the tools your team already uses — ERPs, CRMs, identity, finance, ticketing, ops platforms — through the APIs they already expose.
Traceable action record
Every action logged with structured context: what triggered it, what was decided, why, when, and what changed downstream. Reviewable end to end.
claude-sonnet-4-20250514 Streaming output Tiered autonomy Built on your APIs
⬡ Frontier Agent claude-sonnet-4
RUNNING
Processing vendor onboarding · VND-2241...
Intake & enrichment
Slack #vendor-requests · Clearbit · procurement DB
Policy check
Risk tier: STANDARD · auto-route enabled
Action plan
Generating cross-system provisioning sequence...
Rollback verification
Snapshot points across NetSuite, Okta, Coupa
System execution
3 systems · provisioning sequence
Action record
Structured · reviewable · linked to source intake
Case Study · Founding Deployment

How we built the
first one.

Frontier Security is the first productized deployment of the Frontier Platform. A regulated, production-grade environment where the audit trail matters as much as the work. The pattern we use to build every agent after it.

The workflow

A security team running across 47 assets needed to triage vulnerabilities, decide what to patch, scope credentials per action, execute the change, and produce an audit trail an auditor would accept. End-to-end. Without growing headcount.

The agent we built

Five native scanners observing the supply chain, a Claude-powered evidence chain per CVE, NHI-scoped patching under FDE review, structured action records mapped to SOC 2 / NIST / FedRAMP controls. Eight-week deploy. Two FDEs.

The outcome

96% MTTR reduction. 4.8-minute average patch cycle. Every action linked to a reviewable record. The security team kept their headcount and shipped 10× the throughput.

What we learned

The hard part isn't the model. It's the integration topology, the policy logic, the exception handling, and the action record that survives an audit. We built those as primitives — they're now reusable across every engagement.

Why it generalizes

A regulated security workflow is the hardest version of the problem we solve. Finance reconciliation, vendor onboarding, deal desk — all easier than this. If we can ship cyber, we can ship the rest.

Now available as a pattern

Frontier Security still runs as a productized offering for security teams. For every workflow beyond cyber, we deploy the same architecture as a custom engagement.

Read the full Frontier Security case study.
The architecture, the FDE workflow, the integration pattern, and the failure modes we designed against.
Open case study ↗
Engagement

Discovery first.
Production second.

Every engagement starts with a free four-week discovery audit. From there, a scoped pilot for the first agent, or a multi-quarter program for broader scope. Pricing is structured by workflow complexity, systems involved, and deployment scope — discussed after discovery, once we know what we're actually building. Tends to be around 90% lower than equivalent FTE coverage.

Every engagement includes a named FDE
Pricing scoped after discovery
Discovery
Frontier Audit
Complimentary · 4-week engagement
Free
Workflow audit + deployment plan
Step 1 · Audit
Workflow + decision-point inventory
System integration topology map
Agent opportunity prioritization
FDE-led, <20 hrs of your team's time
Written deployment plan (not a deck)
Cost-vs-FTE comparison
Dedicated FDE for full duration
Converts to a scoped Pilot if the fit is there. No procurement loop required to start. Either way, the report is yours.
Pilot
Frontier Pilot
First agent in production · 6–12 weeks
Scope
priced · per workflow complexity
Steps 2 + 3 · Architect & Deploy
Agent system designed against your deployment plan
Integration into existing stack via API (no migrations)
Decision logic encoded against your business rules
Multi-system execution path with rollback
Structured action records, traceable end to end
Production cutover behind your existing controls
Two-week stabilization period included
Dedicated FDE: ~20 hrs/wk through deployment
How pricing works
Scoped after discovery
Once we've mapped the workflow and the systems, we know what we're actually building. Pricing is fixed before the pilot starts.
Compared to FTE TCO
Every quote includes a 24-month TCO comparison against the equivalent headcount. Engagements tend to land around 90% below.
No platform tax
No per-seat, per-action, or per-integration fees. You pay for the engagement. The agent runs on your infrastructure.
Get started

Tell us the work
you want an
agent to own.

Start with a free four-week discovery audit. We'll map the workflow, identify the agent opportunity, and deliver a written deployment plan with a TCO comparison. Either way, the report is yours.

Or schedule a call directly →
Four-week engagement No fee No procurement loop