go beyond ats filtering with ai-powered interviews. identify true talent through adaptive scoring at scale.
infrastructure allies
why teams buy
less coordination drag.
more controlled throughput.
seventy gives teams a way to increase throughput without accepting black-box risk. the system acts across real workflows, keeps humans in the loop where it matters, and improves as more work runs through it.
execution, not chat
labor as a service
autonomous agents that act inside your stack, not just talk to your team.
safety kernel
governed by default
every agentic action follows strict policy rules and human-in-the-loop gates.
system mesh
shared intelligence
engines learn from each other, preserving context across departmental lanes.
deployment lanes
specialized engines for the work that
slows teams down first.
you do not need to automate everything at once. most buyers start with one high-friction lane, prove the lift, then extend the same command layer into adjacent teams.
sourcing engine
continuous discovery of the top 1% global talent networks.
outreach engine
hyper-personalized multi-channel sales coordination.
workflow engine
cross-departmental automation and sync protocols.
growth engine
market intelligence turned into autonomous action.
command layer
system kernel
architecture: sovereign mesh active
how deployment works
a rollout sequence that
buyers can trust.
seventy is designed to feel operational from the first conversation. these four steps show how a team gets from strategy to live execution without ripping out the systems they already depend on.
map the lane
identify the high-friction coordination loops in your current workflow.
define the policy
set the governance rules, approval gates, and escalation triggers.
inject the agents
deploy specialized engines into the lane with scoped stack permissions.
governed execution
work runs autonomously while your team maintains final oversight.
stack fit
connected to your stack with the controls buyers expect.
seventy sits on top of the systems your teams already use. that makes the first deployment faster, safer, and easier to extend once the initial lane is live.
layer 01
connect the tools you already use
seventy fits on top of your current stack so the first deployment feels like an upgrade, not a replatforming project.
layer 02
give every action the right permissions
skills, tools, and system access can be scoped by role and workflow so operators keep trust in how the agents behave.
layer 03
keep everything observable
runs, approvals, exceptions, and outcomes stay visible to the team responsible for the lane.
deployment support
start with one workflow review, connect the systems involved, and launch the first governed lane before expanding to the next team.
what changes
outcome language that feels board-room ready.
teams do not buy autonomy just because it sounds futuristic. they buy it when the lift shows up in launch speed, workflow coverage, visibility, and control.
2-4 weeks
to first governed lane
enough time to connect systems, set permissions, and prove value in one workflow without a full transformation project.
3.2x
more workflow coverage per operator
small teams can oversee a much broader execution surface once agents absorb the repetitive routing, research, and follow-up work.
100%
observable actions
tool calls, approvals, prompts, and exceptions stay inspectable so the speed gain does not come at the cost of accountability.
1 layer
for execution across teams
recruiting, revenue, and operations can run from the same memory and governance layer instead of fragmenting across point tools.
proof + scenarios
show the buyer what deployment
looks like in practice.
01 / outcome stack
fewer handoffs
agents handle the in-between work that normally dies in slack threads.
faster response loops
new information gets turned into action before the window closes.
higher trust
governance becomes a feature because visibility is built in.
system.telemetry: active
enterprise recruiting teams
replace manual sourcing queues with a live shortlist engine.
sales and revops teams
collapse fragmented outbound tooling into one execution system.
“we stopped treating ai like another interface and started treating it like a governed labor layer.”
head of operations
faq
close the obvious objections before the first meeting.
is this another wrapper around existing ai tools?
no. seventy is positioned as an execution layer, not a chat surface. the product matters when it can route work, act in connected systems, preserve context, and expose governance controls in production.
how much autonomy do teams actually hand over?
it depends on the lane. low-risk steps can run end to end, while higher-risk actions can require approvals, escalation windows, or a fully human final step. the point is configurable autonomy, not blind automation.
does deployment require replacing our stack?
no. seventy is designed to sit on top of the tools your teams already use and remove the coordination burden between them.
where does trust come from if agents are acting on our behalf?
trust comes from visibility and control: scoped permissions, action logs, approval rules, and clear ownership of what the system can do in each workflow.
ready to deploy
stop buying more dashboards. install a labor layer.
book a workflow review, identify the highest-friction lane in your business, and map where autonomous execution can replace coordination drag without giving up governance.