Presales

Unleash the full potential of your presales team.

Presales engineers spend too much of their week sifting through spreadsheets, exports and tools to find the winning solution and secure their place as a trusted advisor. OneIQ multiplies what every engineer can do, from first discovery call to final proposal.

Opportunity generation

Put presales at the front of the opportunity.

Too often the assessment arrives late in the cycle, as a sizing step: "send us an export and we'll come back in two weeks." With a regular routine of OneIQ assessments, presales sees what each client needs next and brings it forward before they have to ask, while others are still waiting on reports and sizing just in time.

One methodology

One way to collect, for every engagement.

Each new engagement usually means a new collection method and a one-off effort, for your team and for the client. Standardizing on OneIQ gives both sides one simple, repeatable way to share and work with environment data. Clients know exactly how to engage with you, and your team gets one pipeline into an agentic process, with outcomes tailored to every client and every project.

Less overhead, more solutioning

Agents pull the facts from one source, so engineers stop stitching together spreadsheets and exports.

The same collection, every engagement

Every engagement feeds the same agentic process, so no project starts from scratch.

Every proposal at your best standard

A consistent, high-quality agentic process helps each engineer work at the top of their ability.

Tailored to every opportunity

The process underneath stays consistent, and the outcome is shaped to each client's needs.

Agent Zone
AI Query
What would this cluster need on newer hardware?
Answer · illustrative
hosts_today: 12 at 61% avg CPU current_gen_needed: 8 hosts headroom_after: 30% scope: shared cluster
Query completedagentic workflow · live data
In practice

A live picture of every environment, inside your agentic workflows

Rounds of back-and-forth slow everyone down, on both sides. With OneIQ, clients share a live, high-fidelity picture of their environment on their own terms, choosing what is shared and who can see it, and that picture feeds your agentic processes directly. Which hosts fall out of support next year? What would this cluster need on newer hardware? Answered in minutes, not weeks: a better proposal for them, and a stronger position for you.

What your team can do

  • Walk into discovery prepared. "Summarize this client's environment before tomorrow's discovery call."
  • Find a comparable deployment. "Which environments we support run the same servers and hypervisor as this one?"
  • Hand delivery the same facts. The delivery team starts from the facts the proposal was built on, so nobody repeats the site assessment.

Figures in the answer cards are illustrative.

Bring the innovation

Introduce your clients to AI-for-IT.

When a client first works with OneIQ through you, they see what AI-for-IT looks like in their own environment: their infrastructure answering questions, scoped and safe. That idea came from you. It opens a conversation about how they can put AI to work in their own operations, and it positions you as the advisor who showed them the way.

Your teamTrusted advisorThe idea
Client environmentAgent Zone · read-only
AI query
Which of our hosts fall out of support next year?
Answer · illustrative
hosts_eol_2027: 14 across 3 clusters
first_to_expire: Mar 2027 · web tier
scope: client-prod · their own data
Query completedscoped and safe

Presales innovation

Let your best engineers author the outcomes.

Your top engineers are the ones who invent new ways to win. With agentic access to real-time infrastructure intelligence, they can build new processes that unlock revenue, sharpen messaging and strategy, and set your brand apart, then hand them to the whole team.

JKLead engineerAuthors the process
New processagentic
  • 1 Discover the environment
  • 2 Assess and size
  • 3 Author the proposal
Ready to sharereal-time intelligence
AM RK LS TN DP
The whole teamRuns the same process