Predictable phases. Clear deliverables. No surprises.
One to two working sessions to map your current state, business goals, gaps, and constraints. We come out with a written scope document and recommendation.
Documented solution architecture, realistic timeline, and a transparent commercial proposal. No surprises and no hidden scope.
Configuration, development, integrations, data migration, and QA, with weekly demos, regular client touchpoints, and on-the-fly adjustments.
Training, change management, hypercare, and ongoing optimization. We do not disappear at go-live, we stick around until success metrics are confirmed.
The challenges that come up in nearly every conversation we have with clients about ai & technology consulting.
Many enterprise AI initiatives stall before production. The bottleneck is rarely the model, it is governance, change management, evaluation, and integration with real workflows.
Every vendor pitches AI. The question leaders need answered is where AI will create durable advantage in their business, and where it will produce expensive parity.
Salesforce, Microsoft, Google, and AWS all have credible AI platforms. So do Anthropic and OpenAI. The right answer usually combines them, and depends on the workflow, not the vendor.
AI is only as good as the data it can see and act on. Most companies are an identity, data quality, and access management project away from being able to deploy AI safely.
The EU AI Act, NIST AI RMF, ISO 42001, and emerging state laws are reshaping how enterprises must govern AI. Most companies have not yet built the muscle.
Foundation models, agent frameworks, vector databases, evaluation platforms, every layer has both a buy and build option. Picking right requires real engineering judgment.
Each represents a deep specialization with dedicated playbooks, accelerators, and experienced consultants.
A structured engagement to map where AI will create the most value in your business, and produce a sequenced, accountable roadmap with measurable outcomes.
AI inventory, risk classification, approval workflows, monitoring, and audit-ready evidence aligned to NIST AI RMF, ISO 42001, and EU AI Act.
Production agent architectures using Claude, GPT, Agentforce, and custom frameworks. Tool use, evaluation, human-in-the-loop, and escalation patterns.
Retrieval-augmented generation systems built for the realities of enterprise knowledge, ingestion, chunking, embeddings, retrieval, evaluation, and operations.
Independent assessment and recommendation across Salesforce Agentforce, Microsoft Copilot, Google Vertex AI, AWS Bedrock, and direct foundation model APIs.
Architecture review, vendor selection, M&A integration planning, platform consolidation, and digital transformation strategy.
Every engagement produces working artifacts your team can use long after we leave.
We are platform-neutral and pick what fits, but here are the tools where our team carries deep, hands-on certification.
Engagements are measured by movement on the numbers that matter. These are the directions of travel we commit to.
Working patterns we reuse across engagements, refined through our Salesforce and AI client work since 2017.
Our two-week assessment that maps where AI will and will not create value in your organization, plus a sequenced roadmap with measurable outcomes.
A framework for AI inventory, risk classification, approval workflows, and ongoing monitoring that scales beyond a single steering committee.
A battle-tested pattern for retrieval-augmented generation in enterprise, covering ingestion, chunking, embeddings, retrieval, and evaluation.
Our approach to designing AI agents that handle real work, tool use, error handling, escalation paths, and human-in-the-loop workflows.
AI & Technology Consulting engagements run across regulated and complex industries. Each combines this capability with sector-specific expertise and regulatory awareness.
Abstrakt Solutions connected Claude to Sync Payments’ Salesforce data for recurring team recognition and pipeline analysis. A separate pilot introduced follow-up task creation with human approval.
Read the case study → B2B MarketingAbstrakt Solutions helped affiliated company Abstrakt Marketing Group deploy Claude-powered call summaries, Salesforce scorecards, and interactive sales training. Abstrakt Marketing Group and Abstrakt Solutions are affiliated companies under common ownership; this story describes work delivered for an affiliated business.
Read the case study → Financial Services — LendingA lender receiving 24,000 leads a month — of which only 400 completed an application — needed scoring and AI agents so a limited sales team could focus on the best prospects.
Read the case study → BiotechnologyA fast-growing synthetic-DNA manufacturer used Service Cloud, Agentforce, and MuleSoft to absorb rising support volume without adding headcount.
Read the case study → Telecommunications & InfrastructureA tower-construction company automated extraction of checkbox-heavy inspection forms and added natural-language project analysis after spending 60+ hours failing to do it alone.
Read the case study →Consultant-level analysis from the consultants delivering the work.
Where AI earns a place in Account Engagement and Marketing Cloud, from copy drafts and segments to send-time scoring, what data and review it needs, and how to measure it fairly.
Read the full post →Custom applications, platform extensions, integrations, and engineered solutions built when off-the-shelf software won't fit.
Learn more →Align marketing, sales, and customer success into one revenue engine. Process, forecasting, attribution, and tech-stack optimization.
Learn more →Tech Talk
A monthly brief for the people who own Salesforce, AI and revenue technology
What changed in Salesforce and AI this month, and what to do about it.
One email a month. Written by the consultants who deliver the work, not by a marketing team, for the leaders who make the technology decisions.
Consultant analysis, not vendor recaps. One click to leave.
