B Bolden Advisory
See the math Book a 30-min diagnostic
Revenue & technology advisory · Renton, WA

Your strategy isn't the problem.
Execution capacity is.

We help mid-market leadership teams turn a revenue plan or a technology purchase into a working system — a defined motion, the platform underneath it, and someone accountable in the room until the number moves.

Book a 30-minute diagnostic See how an engagement runs
Fixed scope, fixed fee
No open-ended retainers
One accountable owner
Not a rotating bench
MBE / OMWBE certified
Diversity-spend eligible
What we're accountable for
FIRST 90 DAYS
Qualified pipeline coverage
2.0× → 3.5×
Target set with your CRO in week 1 · measured in your CRM
Time to first productive deal
−30 to −60 days
New-hire ramp, measured from start date
Forecast accuracy at commit
±10%
Board-reportable, same definition every quarter
Targets are agreed in writing at kickoff and reviewed monthly. If a target isn't moving, we say so in the review — not at renewal.
Two problems, one operating model Revenue that doesn't compound / Technology you bought but never operationalized / Usually both, and they're related
The outcomes

Four results. Each one has a number attached.

If an engagement can't be tied to one of these, we'll tell you it isn't worth buying. Every artifact we produce exists to move one of these four lines.

Win rate
Fewer deals, better qualified

A single qualification standard applied to every open deal, so the team stops spending Q3 on business that was never going to close.

Ramp time
New hires productive sooner

A 30-60-90 that's specific to your market and your product, so a new seller isn't reinventing the motion from scratch.

Forecast
A number the board can trust

Stage definitions with entry and exit criteria, enforced in the CRM you already own. Same definition every quarter.

Adoption
Platforms actually used

The security, observability, and AI tooling you've licensed, configured against real use cases and owned by a named person.

The ASCEND method

One method. Six stages. You always know which one you're in.

Each stage has a defined input, a defined output, and a decision gate. You can stop at any gate — that's deliberate, not a loophole.

Weeks 1–2  →  diagnose
Weeks 3–6  →  design + build
Weeks 7–12  →  operate + prove
A Assess
Pipeline, stage hygiene, license inventory, and a maturity score across four domains.
Output
Maturity score + gap map
Gate
Is the gap worth fixing?
S Strategy
Which segment, which motion, which platform decision comes first — sequenced.
Output
90-day priority roadmap
Gate
Do we agree on sequence?
C Configure
Stage definitions, qualification standard, and platform config built in your systems.
Output
Configured CRM + runbooks
Gate
Does it work in a live deal?
E Enable
Managers first, then reps. Working sessions on real opportunities, not case studies.
Output
Trained team + coaching cadence
Gate
Are managers running it?
N Navigate
Weekly deal reviews and warm introductions while the new motion is still fragile.
Output
Live deal support
Gate
Is the metric moving?
D Deliver
Executive review against the targets set at kickoff. Continue, hand off, or stop.
Output
KPI review + handoff pack
Gate
Renew, or run it yourselves?
Exit at any gate Most clients start at Assess and decide at the week-2 gate whether the rest is worth it. About a third stop there with a roadmap and run it themselves.
Diagram 01 · Revenue operating model

What we actually install

Not a training day. A closed loop: every stage has an entry test, an owner, an artifact, and a field in your CRM that proves it happened. If a stage can't be measured, it isn't a stage.

For the CRO: stage exit criteria your managers can enforce in a 1:1.
For the CFO: one weighted-pipeline calculation, not four.
For the CIO: configured in the CRM you own. No new system to buy.
S0
Target
Fits written ICP
S1
Qualify
Pain + metric named
S2
Validate
Champion tested
S3
Justify
Business case signed off
S4
Commit
Paper process mapped
Owner
Marketing / SDR
AE
AE + SE
AE + Finance
AE + Manager
Artifact
Account plan
Discovery notes
Champion map
ROI model
Mutual close plan
CRM evidence
ICP score field
Metric field
Champion field
Attached case
Close plan date
Feedback loop: weekly deal review → stage hygiene report → coaching action → forecast at commit
Diagram 02 · Reference architecture

Secure, observable, AI-ready — in the order that actually works

We're a certified reseller, so we can source the platforms. The reason to buy them from us is the layer above: use cases defined before purchase, an owner named before deployment, and value proven before renewal.

If you're the CEO, here's the whole thing in one line
You are probably paying for tools nobody has finished turning on. We find those first, then buy only what's missing.
Sourcing · Carahsoft (SLED) · vendor-direct (commercial)
Purchase order required before any delivery
Tier 1 — Sources what already generates signal
Endpoint & identity
CrowdStrike · Okta
Cloud & network
Palo Alto · cloud-native logs
Applications
APM agents · traces
Business systems
ERP · CRM · ITSM
Tier 2 — Pipeline collect once, route everywhere
Open telemetry collection
OpenTelemetry
Routing & tiered retention
hot / warm / archive
Backup & recovery
Rubrik
Tier 3 — Analytics detect, observe, correlate
SIEM & detection engineering
Splunk
Observability & SLOs
Datadog
AIOps correlation
event → incident
Tier 4 — Act & govern where value is actually realized
Workflow & automation
ServiceNow
AI use cases & guardrails
LLM readiness · data foundation
Governance & evidence
control mapping · SOC 2
Business outcome
Mean time to detect measured, not assumed
CFO outcome
Overlapping licenses consolidated at renewal
Audit outcome
Controls evidenced for insurers and SOC 2
Diagram 03 · Agentic AI systems

Agents that do the work — and can be held to account for it

A chatbot answers. An agent decides, calls a system, and changes something. That difference is the whole engineering problem: an agent needs permissions, a verification step, and an audit trail before it touches a customer or a ledger.

We build the narrow, boring, high-volume ones first — the tasks where a wrong answer is cheap and caught — then widen the mandate once the evaluation numbers earn it.

If you're the CEO, here's the whole thing in one line
Pick one task your team does two hundred times a month, let an agent do it under supervision, and only expand when the error rate is measured — not demonstrated.
The agent loop · every step is logged
01
Retrieve
Pulls only the data its role permits
02
Plan
Breaks the task into checkable steps
03
Act
Calls your systems through defined tools
04
Verify
Checks its own work against a rule set
05
Escalate
Hands to a human below confidence threshold
Permission
Read-scoped
None
Write, allow-listed
Read-only
Human queue
Guardrail
PII filter
Step budget
Approval on threshold
Rule + eval set
SLA on response
Evidence
Source citation
Plan trace
Action log
Pass / fail score
Corrected example
Escalation path: low confidence → human queue → corrected example → added to the evaluation set
Deployment stack · bottom-up, because the bottom is where projects die
Use case & value case
Layer 5
One task, volume counted, cost per task today, target error rate agreed in writing before anything is built.
Owner: business lead
Orchestration
Layer 4
Planning, task decomposition, memory, and multi-agent handoff where a single agent genuinely can't cover the task.
Owner: engineering
Tools & data access
Layer 3
The agent's hands: API and MCP-style tool definitions, retrieval over your own documents, least-privilege service accounts.
Owner: platform + IT
Evaluation & guardrails
Layer 2
A graded test set built from real historical cases, run on every change. Refusal rules, spend ceilings, and approval thresholds.
Owner: shared, we build it
Governance & observability
Layer 1
Every prompt, tool call, and outcome logged and queryable. Policy on acceptable use, data residency, and human accountability.
Owner: CIO / risk
Runs where you are
Your cloud tenant and your data boundary — not ours
Cost control
Per-task token budget with a hard ceiling and a spend dashboard
Model choice
Swappable by design; no rewrite when a cheaper model wins
Where we start · first 60 days
Proposal and RFP drafting
LOW RISK
Assembles a first draft from your past winning responses, then a human edits. Never sends.
Proof: hours per response, before and after
Tier-1 ticket triage
LOW RISK
Classifies, routes, and drafts the first reply in your ITSM queue with approval before it posts.
Proof: % correctly routed, time to first touch
Account and pipeline research
LOW RISK
Compiles account briefs and fills CRM fields the team currently skips, flagged as agent-sourced.
Proof: field completeness, prep time saved
Alert enrichment for the SOC
MEDIUM RISK
Gathers context around an alert and proposes a disposition. Analyst still decides.
Proof: analyst minutes per alert, false-positive rate
We will talk you out of a customer-facing agent as the first deployment. It's the most visible and the least forgiving place to learn.
Co-pilot Architect · the Bolden Swarm

Give an understaffed team the throughput of a larger one.

Public-sector work is rarely one task. A solicitation, a grant report, a records request, a security incident — each is a chain of research, drafting, cross-checking, and evidence, moving between people who are already fully committed. The backlog isn't a judgment problem. It's a throughput problem.

The Co-pilot Architect is our deployed agent capability for exactly that shape of work. It carries the assembly — the reading, the first draft, the cross-check, the citation list — and hands your staff a package to judge instead of a blank page. A named public servant still approves anything that leaves the building.

If you're a public-sector CIO, here's the whole thing in one line
More work moves through the same headcount, and every step of how it moved is on the record.
What the agency gets, and what it keeps
Decisions stay yours
Nothing is sent, filed, published, or committed without a named staff approval — and the approval is part of the record.
Defensible on request
Every source read and every action taken is logged and queryable, with retention and disclosure rules applied — so a records request, an auditor, or a council member gets a straight answer.
Inside your boundary
Runs in the agency’s own tenant against least-privilege access. Your data does not leave to train anything.
Budget-safe
Per-task cost ceiling agreed before go-live, with a spend dashboard. No surprise consumption line in the next biennium.
Measured, not demoed
Accuracy is graded against a test set built from your own historical cases, with a target agreed in writing before anything goes live.
The method and the guardrails are documented for your team. The internal composition of the swarm is ours — you're buying the outcome and the accountability around it, not a diagram to maintain.
Where it earns its keep in SLED

Four workloads where the queue is the problem, not the judgment.

Start with one workload, one quarter
Baseline measured before, not estimated after
Solicitations and scopes of work
A first-draft scope and evaluation criteria assembled from your prior awards and the requesting department’s intake notes, ready for procurement to edit.
What gets measured
Staff days per solicitation, and how many go out on schedule
Grant applications and reporting
Narrative drafted against the funder’s own criteria, with figures pulled from your systems and each one traced to where it came from.
What gets measured
Applications submitted per cycle; findings at close-out
Public records requests
Responsive material located, exemptions flagged for the attorney’s review, and the response package assembled with its citation list.
What gets measured
Days to first production; backlog age
Service desk and incident triage
Tickets and alerts classified, routed, and enriched with the context an analyst would otherwise spend twenty minutes gathering.
What gets measured
Time to first touch; percentage correctly routed
Not first We will talk you out of a constituent-facing agent as your first deployment. It's the most visible and the least forgiving place to learn, and the backlog that's actually hurting you is almost always internal.
Diagram 04 · The economics

Here's the arithmetic. Change the inputs to yours.

We're not going to claim a 50:1 return. Below is a worked example with every assumption visible, so your CFO can argue with the inputs instead of the conclusion.

Assumptions
Annual new-business target $2.0M
Quota-carrying sellers 6
Average deal size $85K
Current win rate 22%
Win-rate improvement modeled +4 pts
Gross margin 55%
Illustrative mid-market figures — 108 deals worked at a 22% win rate ties back to the $2.0M target above. We rebuild this with your real numbers in the Assess stage.
Working
Deals worked per year at current coverage
6 sellers × 18 deals = 108
Incremental wins from +4 pts
108 × 0.04 = 4.3 deals
Incremental revenue
4.3 × $85K = $367K
Incremental gross profit
$367K × 55% = $202K
Less engagement fee
$202K − $25K = $177K net
Result
8.1×
Gross profit returned per dollar of a $25K 90-day engagement, on these assumptions alone — before any effect on ramp time or renewals.
Payback~5 months
Break-even0.5 pts win rate
If your break-even needs more than two points of win rate, we'll tell you the engagement is too big for your pipeline.
For the room

Four people have to say yes. Here's each one's version.

Same engagement, four different questions. Send this section to whoever is skeptical.

CEO
“Will this show up in the number, or is it another initiative?”
What they get
Three named targets, a monthly review, and permission to stop at any gate.
Measured by
Revenue vs. plan, and whether targets set at kickoff were hit
CRO
“Will my managers actually run it after you leave?”
What they get
Stage exit criteria, a deal-review agenda, and manager enablement before rep training.
Measured by
Coverage ratio, stage conversion, forecast variance at commit
CFO
“What's the payback and what happens if it doesn't work?”
What they get
Fixed fee, visible assumptions, and a break-even stated before you sign.
Measured by
Gross profit per engagement dollar; license spend consolidated
CTO / CIO
“Are you adding systems I'll have to support?”
What they get
Configuration in platforms you already own, documented, with a named internal owner.
Measured by
Tooling overlap removed; MTTD/MTTR baselined then tracked
Engagements

Three ways in. Start at the smallest one.

Nobody should sign a 90-day engagement before a two-week diagnostic tells them what's actually broken.

Tooling and templates included at no charge
Fixed fee · scope in writing · exit at any gate
2 weeks
Diagnostic Sprint
START HERE
$4.5K – $8.5K
You suspect something is broken but the diagnosis keeps changing depending on who you ask.
Stakeholder interviews and Art-of-the-Possible session
Maturity score across four domains
Gap-to-action map with effort and impact
90-day priority roadmap you own outright
Start with the diagnostic
90 days
90-Day Build
$12K – $25K
The diagnosis is agreed and you need the motion built and running, not documented.
Everything in the Diagnostic Sprint
CRM stages, qualification standard, and runbooks configured
Manager and seller enablement on live deals
Warm introductions where our network overlaps your ICP
KPI review against kickoff targets at day 90
Scope a 90-day build
Monthly · 3-month minimum
Embedded Advisory
$6K – $18K / mo
You need a fractional revenue or technology leader in the room until the capability is internal.
Fractional CRO / CIO-level partner
Weekly office hours and deal support
Quarterly maturity review and board narrative
Sourcing and renewal negotiation as a certified reseller
Exit plan written at month one, not month twelve
Discuss an embedded engagement
Public sector: quotes available on NASPO ValuePoint and WA DES/WEBS vehicles, and via Carahsoft for co-prime and teaming arrangements.
What we can and can't claim

A new firm being straight with you about it.

Bolden Advisory was founded in 2026. We don't have a decade of logos to show you, and a wall of consulting-firm names isn't proof of anything either — so here's what's actually verifiable.

If you want references, ask on the diagnostic call and we'll tell you honestly who you can talk to and who you can't.

Verifiable
Washington OMWBE-certified MBE. UEI Q88BH7NBAQ45. Diversity-spend eligible for prime contractors with supplier-diversity targets.
Verifiable
Authorized reseller relationships including Rubrik and ServiceNow, with Carahsoft access for public-sector vehicles.
Verifiable
15+ years of enterprise platform sales and delivery experience behind the practice — ask for the specifics on the call.
Method, not proof
The frameworks we build on — MEDDPICC, Challenger, McKinsey and Kellogg GTM — are published and public. Using them isn't a credential; applying them to your pipeline is the work.
Not yet claimable
Multi-year client outcome data. When we have it, it'll appear here with the client's name attached and their permission on file.

Thirty minutes, one question: is anything here worth your money?

Bring your pipeline report or your license inventory. You'll leave with two or three specific things to fix, whether or not you hire us.

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