Engagements

Choose the engagement that matches your urgency.

Our services are structured to move quickly without sacrificing rigor. Every engagement starts with a clear value case and transfers real capability to your team.

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How we work

Engagement options

88% of organizations use AI. Single digits have it running in production.1 Every engagement below is designed to close that gap — from first conversation to measurable operating impact.

Free Intro Call

No commitment

30–60 minute call to understand your needs and explain how we work.

  • Honest read on whether AI fits your situation
  • Overview of Soligence and prior work
  • Open Q&A with a senior advisor
Best for: exploring whether we're the right partner

Value Diagnostic

Low commitment

Paid discovery that answers your most important AI questions and baselines the value case before you commit.

  • Focused — 1 week: single use case, recommendation memo, 60-min readout
  • Standard — 2 weeks: 2–3 use cases, opportunity map and memo, 90-min workshop
  • Deep — 4 weeks: portfolio review, roadmap, readiness scorecard, half-day workshop
  • Baseline metrics and measurement plan for the strongest use cases
  • 100% of fee credited toward any engagement signed within 60 days
Best for: proving where AI can create measurable value

6-Week Sprint

Medium commitment

Fixed price, fixed scope, intense pace. When a fit exists, we use Catalyst playbooks to accelerate scope, delivery, acceptance gates, and handoff.

  • Collaborative scope definition up front
  • Production-ready AI workflow delivered in 6 weeks
  • Catalyst workflow patterns used where relevant
  • Integration, documentation, handoff, and success metrics included
  • Outcome-aligned fee structures available when value can be verified
Best for: a focused, high-impact initiative with urgency

Custom Build SOW

Medium Commitment

Defined scope, fixed price, agreed timeline. For multi-phase initiatives that do not fit the sprint model.

  • Scope and deliverables defined in writing
  • Fixed price tied to agreed scope and value hypothesis
  • Milestone-based timeline
  • Optional base fee plus capped success fee for measurable savings
Best for: multi-phase or atypical engagements

AI Operations Partnership

Tactical · high commitment

Fixed monthly price, flexible scope, value realization focus. We help operate, tune, and expand AI workflows as priorities evolve. We join your operating cadence and transfer the playbook to your team.

  • Monthly partnership with flexible scope
  • Ongoing optimization across AI initiatives
  • Dashboard review of adoption, cost, quality, and throughput
  • Terms from 3 months to 12+ months
Best for: sustaining value after launch

Fractional CAIO

Strategic · high commitment

Part-time Chief AI Officer — a named senior leader embedded in your C-suite for AI strategy and deployment. Joins leadership meetings, keeps the AI roadmap moving, and turns decisions into shipped systems.

  • AI strategy, roadmap ownership, and governance
  • Use-case evaluation, vendor guidance, competitive analysis
  • Staff education, board prep, leadership meeting participation
  • Commercial model guidance for build-vs-buy and outcome-based contracts
Best for: strategic AI leadership at advisory pricing
Commercial model

Outcome-aligned pricing, without the ROI theater.

We offer outcome based economics where the metric can be baselined, measured, and contractually verified.

Where it works

Faster decision cycles, higher workflow throughput, fewer operational misses, reduced rework, software spend optimization, and measurable risk reduction or customer-retention improvements.

How we structure it

A fixed base fee covers delivery. A capped success fee can apply to agreed, verified business outcomes over a defined measurement window.

Start here

Executive AI Briefing.

A 45-minute working session for CEOs, COOs, CFOs, and business-unit leaders. No slide deck, no pitch — we identify where AI can create value in your business, what risks matter, and what next step is worth funding. Briefings are scheduled by request once we confirm a fit.

What you get

  • Market context tailored to your business model
  • Tailored AI opportunity and risk readout
  • A recommended next step worth funding
  • Board and leadership talking points

What it leads to

  • A Value Diagnostic or 6-Week Sprint
  • Adoption, vendor, or use-case workshops
  • Fractional CAIO leadership support
  • Or simply a clearer plan you can act on internally
Request a Briefing
Hands-on training

AI Training for Leaders and Teams.

Hands-on training for the work your team actually does. Delivered through Soligence Elevate, with real workflows, practical playbooks, and follow-up support.

What you get

  • Hands-on training, no theory or AI 101 slides
  • Real workflows around your actual work
  • Personal AI playbook built in session
  • Follow-up support after the intensive

What you can book

  • Private team intensive (everyone aligned on how AI gets used)
  • Individual seats in upcoming public sessions
  • Custom enterprise track for larger orgs
  • Manager and leadership tracks
Visit Soligence Elevate
Fixed-Scope Workshops

High-value workshops we deliver

Each workshop produces a concrete outcome and can stand alone under SOW or lead into a sprint, partnership, or fractional engagement. Pick the workshops that match where you are — not a strict sequence.

AI Risk Readiness Workshop

Phase 01 · Pre-commitment risk framing

A working session for leadership before AI commitments are made. We surface the security, compliance, and approval questions to address — not an audit, certification, or attestation.

  • Risk questions framed for leadership discussion
  • Regulatory and security context (HIPAA, GLBA, GDPR, SOC 2) — not a compliance opinion
  • Prioritized internal decisions before committing budget
  • Executive summary for stakeholder briefings
Best for: leadership teams preparing for AI risk discussions — not buyers seeking audit or certification

Adoption and Operating Model Workshop

Phase 02 · Change readiness

A working session focused on how AI actually gets adopted inside the business, including roles, handoffs, incentives, and ownership.

  • Role and workflow changes mapped clearly
  • Training and adoption barriers surfaced early
  • Recommended operating model for rollout
Best for: teams that need more than training to make AI stick

Use Case Ideation

Phase 03 · Opportunity mapping

A working session to identify, prioritize, and scope the AI use cases most likely to produce measurable operational value.

  • Cross-functional workflow review
  • Prioritized opportunity map
  • ROI, feasibility, and urgency lens
Best for: choosing the right first and second bets

Vendor and Platform Strategy

Phase 04 · Platform decisions

A structured review of build-versus-buy choices, vendor fit, pricing models, and platform tradeoffs before you lock into a stack.

  • Vendor shortlist and evaluation criteria
  • Build-vs-buy and lock-in tradeoff analysis
  • Pricing and commercial model review
Best for: buyers who want an independent point of view before signing

Agent Orchestration Design

Phase 05 · Architecture & foundation

A working session that maps your agent workflows, tool access, escalation paths, and monitoring model before you build.

  • Agent inventory, tool integration, and routing design
  • Observability, activity logging, and human-in-the-loop gates
  • Governance and escalation rules tailored to your risk posture
Best for: teams running more than one AI workflow that need them to coordinate

AI Reliability Review

Phase 06 · Risk and validation

An independent assessment of how an existing AI system performs under real conditions, where it can fail, and what must change before scale.

  • Workflow, prompt, and model review
  • Failure mode and drift analysis
  • Remediation priorities with executive readout
Best for: teams that have shipped AI but need confidence in reliability

AI Operations and Optimization

Phase 07 · Post-launch performance

A post-launch workshop focused on how AI systems get monitored, tuned, governed, and improved once they are live in the business.

  • Monitoring, escalation, and review cadence
  • Prompt, model, and workflow optimization plan
  • Governance guardrails for ongoing operations
Best for: organizations that need an answer to what happens after go-live
Common questions

Frequently asked questions

We start with a free intro call, then typically a Value Diagnostic to align on scope, baseline the value case, and confirm fit. Delivery usually happens through one of four models: a 6-Week Sprint, a Custom Build SOW, an AI Operations Partnership, or a Fractional CAIO engagement. When relevant, we model build-vs-buy tradeoffs against your current vendor spend to ensure the investment case is clear.
Yes, when the outcome can be measured cleanly. We usually recommend a fixed base fee plus a capped success fee tied to agreed, verified business outcomes. Good candidates include cycle-time compression, throughput improvement, fewer operational misses, lower rework, software spend optimization, risk reduction, and customer-retention or expansion gains. We avoid vague ROI claims and top-line attribution unless the measurement model is clear before work begins.
We don't hand you a deck and walk away. We co-build alongside your team and transfer ownership of the system, the decision logic, and the roadmap. Where relevant, Catalyst gives us reusable workflow patterns, deployment playbooks, and acceptance gates instead of starting from a blank page. Our own business runs on the same AI-native architecture we deploy for clients.
It means your team owns the system when we leave. We document everything, train your people, and structure governance so you can operate and evolve the AI workflows independently. You keep the capability, not the dependency. It's also a labor-market hedge — inbound migration of AI researchers and developers to the U.S. is down 89% since 2017, and U.S. developers ages 22–25 saw employment fall nearly 20% from 2024.2 Renting capability gets more expensive every quarter. Owning it compounds.
Value Diagnostics run 1–4 weeks depending on depth. A 6-Week Sprint delivers a production-ready workflow in six weeks. Custom Build SOWs and AI Operations Partnerships are scoped to your timeline, and Fractional CAIO engagements typically run several months or longer. We'll help you select the right pace during the intro call.
A Value Diagnostic combines structured interviews with your team and a written assessment. You receive a recommendation memo and a readout or workshop — and for Standard and Deep tiers, an opportunity map, value baseline, measurement plan, or roadmap you can share with stakeholders. 100% of the diagnostic fee is credited toward any engagement signed within 60 days, so it de-risks the decision without adding cost.
PE portfolio companies, investment banks, insurance carriers, and professional services firms. Our clients share a profile: operationally intensive businesses with high data volume where manual effort is the bottleneck. See our industries page for details.
That's common. Most AI pilots fail because they skip governance, adoption design, and team enablement. We address all three from day one so the system actually gets used and delivers sustained value.
Security and governance are design requirements from day one, not features added later. Documented AI incidents rose roughly 55% year over year in 2025 (362 incidents, up from 233),3 and frontier-model responsible-AI reporting remains spotty. We design for your risk posture — not against a generic checklist.
Yes. We design solutions around your constraints and data, not around a specific vendor or platform. We're tool-agnostic and integrate with what you already have.
The enterprise software landscape is shifting from seat-based to usage and outcome-based pricing. This creates both savings opportunities and new complexity. As part of our solution design process, we model total cost of ownership across build-vs-buy decisions, evaluate vendor lock-in risk, and help you negotiate contracts aligned with actual value delivered.
Next step

Let us scope the right engagement.

We'll propose a path that matches your urgency, risk tolerance, and internal capacity.

How it works: 30-minute discovery call (no pitch deck) → we tell you honestly if AI fits your situation → if it does, you get a scoped proposal with timeline, deliverables, and pricing within one week.

Sources
1. Stanford Institute for Human-Centered AI, Artificial Intelligence Index Report 2026, April 2026 — organizational AI adoption (88% in 2025, up from 78% in 2024) and AI agent deployment rates by business function.
2. Stanford Institute for Human-Centered AI, Artificial Intelligence Index Report 2026, April 2026 — inbound migration of AI researchers and developers to the U.S. (89% decline since 2017; 80% decline in the last year alone) and U.S. software developer employment ages 22–25 (nearly 20% decline from 2024).
3. Stanford Institute for Human-Centered AI, Artificial Intelligence Index Report 2026, April 2026 — AI Incident Database: 362 documented incidents in 2025, up from 233 in 2024.